Showing papers in "Industrial Management and Data Systems in 2020"
TL;DR: This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria, which provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS -SEM in IS studies.
Abstract: Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.,A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.,The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.,This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.
178 citations
TL;DR: The results show that financial self-efficacy, technological self- efficacy and confirmation positively affect perceived usefulness and satisfaction, and the importance of assessing a model's predictive power using the PLSpredict technique and provides a reference for model selection.
Abstract: The purpose of this study is to clarify theory and identify factors that could explain the level of fintech continuance intentions with an expectation confirmation model that integrates self-efficacy theory.,With data collected from 753 fintech users, this study applies partial least square structural equation modeling to compare and select the research model with the most predictive power.,The results show that financial self-efficacy, technological self-efficacy and confirmation positively affect perceived usefulness. Among these factors, financial self-efficacy and technological self-efficacy have both direct and indirect effects through confirmation on perceived usefulness. Perceived usefulness and confirmation are positively related to satisfaction. Finally, perceived usefulness and satisfaction positively influence fintech continuance intentions.,To the best of our knowledge, this is one of the earliest studies that investigates the effect of domain-specific self-efficacy on fintech continuance intentions, which enriches the existing research on fintech and deepens our understanding of users' fintech continuance intentions. We distinguish between financial self-efficacy and technological self-efficacy and specify the relationship between self-efficacy and continuance intentions. Moreover, this study highlights the importance of assessing a model's predictive power using the PLSpredict technique and provides a reference for model selection.
131 citations
TL;DR: This research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to explore and validate hypotheses following a sufficiency logic, as well as hypotheses drawing on a necessity logic.
Abstract: This research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to explore and validate hypotheses following a sufficiency logic, as well as hypotheses drawing on a necessity logic. The authors’ objective is to encourage the practice of combining PLS-SEM and NCA as complementary views of causality and data analysis.,The authors present guidelines describing how to combine PLS-SEM and NCA. These relate to the specification of the research objective and the theoretical background, the preparation and evaluation of the data set, running the analyses, the evaluation of measurements, the evaluation of the (structural) model and relationships and the interpretation of findings. In addition, the authors present an empirical illustration in the field of technology acceptance.,The use of PLS-SEM and NCA enables researchers to identify the must-have factors required for an outcome in accordance with the necessity logic. At the same time, this approach shows the should-have factors following the additive sufficiency logic. The combination of both logics enables researchers to support their theoretical considerations and offers new avenues to test theoretical alternatives for established models.,The authors provide insights into the logic, assessment, challenges and benefits of NCA for researchers familiar with PLS-SEM. This novel approach enables researchers to substantiate and improve their theories and helps practitioners disclose the must-have and should-have factors relevant to their decision-making.
104 citations
TL;DR: In this article, the authors explored how firms develop localization, agility and digitization (L-A-D) capabilities by applying (or not applying) their critical circular economy (CE) and blockchain technology (BCT)-related resources and capabilities that they either already possess or acquire from external agents.
Abstract: Using the resource-based and the resource dependence theoretical approaches of the firm, the paper explores firm responses to supply chain disruptions during COVID-19. The paper explores how firms develop localization, agility and digitization (L-A-D) capabilities by applying (or not applying) their critical circular economy (CE) and blockchain technology (BCT)-related resources and capabilities that they either already possess or acquire from external agents.,An abductive approach, applying exploratory qualitative research was conducted over a sample of 24 firms. The sample represented different industries to study their critical BCT and CE resources and capabilities and the L-A-D capabilities. Firm resources and capabilities were classified using the technology, organization and environment (TOE) framework.,Findings show significant patterns on adoption levels of the blockchain-enabled circular economy system (BCES) and L-A-D capability development. The greater the BCES adoption capabilities, the greater the L-A-D capabilities. Organizational size and industry both influence the relationship between BCES and L-A-D. Accordingly, research propositions and a research framework are proposed.,Given the limited sample size, the generalizability of the findings is limited. Our findings extend supply chain resiliency research. A series of propositions provide opportunities for future research. The resource-based view and resource-dependency theories are useful frameworks to better understanding the relationship between firm resources and supply chain resilience.,The results and discussion of this study serve as useful guidance for practitioners to create CE and BCT resources and capabilities for improving supply chain resiliency.,The study shows the socio-economic and socio-environmental importance of BCES in the COVID-19 or similar crises.,The study is one of the initial attempts that highlights the possibilities of BCES across multiple industries and their value during pandemics and disruptions.
94 citations
TL;DR: This work provides a summary and unique perspective that links traditional and emergent digitalization technology to green and environmental sustainability work and shows how IMDS literature has contributed to the field for decades.
Abstract: This study provides a reflective overview on the role of traditional and emergent digitalization and information technologies for leveraging environmental supply chain sustainability – while reflecting on potential trade-offs and conflicts of digitalization and greening.,The authors use relevant literature and literature from Industrial Management and Data Systems (IMDS) research published in this journal over the past 50 years. They also use their knowledge and over 30 years of research experience in the field to provide professional scholarly reflections and perspective.,The authors provide a focused and succinct evaluation for research directions. A pressures, practices and performance framework sets the stage for pertinent research questions and theoretical needs to investigate the nexus of digitalization and green supply chain management. The authors provide two frameworks with exemplary practices and research for traditional and emergent digitalization and information technology. Their reflection concludes with a summary and steps forward.,The authors show how research and practice can be used to affect supply chain greening with digitalization and information technology. They observe that care should be taken given that these technologies can paradoxically simultaneously offer solutions to environmental degradation and potentially be a source of environmental degradation across the supply chain.,This work provides a summary and unique perspective that links traditional and emergent digitalization technology to green and environmental sustainability work. The area has not seen a clear summary and path forward and shows how IMDS literature has contributed to the field for decades.
66 citations
TL;DR: The empirical results show that the content generation efforts of marketers and the interaction behaviors between marketers and consumers will significantly influence the e-commerce sales, which refers to the first-order effects of internet celebrity endorsement.
Abstract: With the popularity of social media and, recently, live streaming, internet celebrity endorsements have become a prevalent approach to content marketing for e-commerce sellers. Despite the widespread use of social media and online communities, empirical studies investigating the economic value of user-generated content (UGC) and marketer-generated content (MGC) still lag behind. The purpose of this paper is to contribute both theoretically and practically to capture both first-order effects and second-order effects of internet celebrity endorsements on marketing outcomes in an e-commerce context.,This study conducts a cross-sectional regression to evaluate the economic value of internet celebrity endorsement, and a panel vector autoregressive model is adopted to examine the relationship between celebrities’ and consumers’ content marketing behaviors and e-commerce sales performance. The authors also adopt look-ahead propensity-score matching technique to correct for selection bias.,The empirical results show that the content generation efforts of marketers and the interaction behaviors between marketers and consumers will significantly influence the e-commerce sales, which refers to the first-order effects of internet celebrity endorsement. Moreover, interactions within the fan community exert second-order effects of content marketing on sales performance.,This paper provides new insights for e-commerce retailers to evaluate the economic values of internet celebrity endorsement, a new content marketing practice in e-commerce platform.
64 citations
TL;DR: An overview of recently developed and proposed out-of-sample prediction metrics for composite-based PLS-SEM that will enhance the ability of researchers to demonstrate generalization of their findings from sample data to the population.
Abstract: The purpose of this study is to provide an overview of emerging prediction assessment tools for composite-based PLS-SEM, particularly proposed out-of-sample prediction methodologies.,A review of recently developed out-of-sample prediction assessment tools for composite-based PLS-SEM that will expand the skills of researchers and inform them on new methodologies for improving evaluation of theoretical models. Recently developed and proposed cross-validation approaches for model comparisons and benchmarking are reviewed and evaluated.,The results summarize next-generation prediction metrics that will substantially improve researchers' ability to assess and report the extent to which their theoretical models provide meaningful predictions. Improved prediction assessment metrics are essential to justify (practical) implications and recommendations developed on the basis of theoretical model estimation results.,The paper provides an overview of recently developed and proposed out-of-sample prediction metrics for composite-based PLS-SEM that will enhance the ability of researchers to demonstrate generalization of their findings from sample data to the population.
59 citations
TL;DR: This study uses structural equation modeling with the maximum-likelihood estimation method to test the theoretical model of green supply chain integration (GSCI), shedding new light on how GSCI influences performance and providing practical guidelines for different stakeholders.
Abstract: The purpose of this paper is to explore the impact of green supply chain integration (GSCI) on sustainable performance which includes environmental, social and economic performance.,Based on data collected from 206 Chinese manufacturers, this study uses structural equation modeling with the maximum-likelihood estimation method to test the theoretical model.,The results show that different dimensions of GSCI have different outcomes. Green internal integration lays the foundation for green supplier integration (GSI) and green customer integration (GCI), and is related to both environmental and social performance. GSI is positively related to economic performance, whereas GCI is positively related to social performance.,Believing that “how to be green” matters, this study focuses on an integrative approach to green supply chain management (GSCM), shedding new light on how GSCI influences performance and providing practical guidelines for different stakeholders.
53 citations
TL;DR: The empirical results showed that CSR positively affected service innovation and product innovation in service firms and manufacturing firms, respectively, and that these effects were positively mediated by employee involvement and supplier collaboration.
Abstract: The purpose of this study was to examine how firms' corporate social responsibility (CSR) strategies affect their innovation performance via two mediating variables, employee involvement and supplier collaboration, and compare how this mechanism works in the service and manufacturing industries.,The conceptual model was built on stakeholder theory, the resource-based view (RBV) and service-dominant logic (SDL). Based on survey data from 686 service firms and 1,646 manufacturing firms, the hypothesized relationships were tested using structural equation modeling (SEM).,The empirical results showed that CSR positively affected service innovation and product innovation in service firms and manufacturing firms, respectively, and that these effects were positively mediated by employee involvement and supplier collaboration. However, compared with manufacturing firms, the effect of CSR on innovation performance was greater for service firms. Supplier collaboration and employee involvement also played a stronger role in service firms when mediating the relationship between CSR and innovation performance.,By analyzing and validating the direct and indirect effects of CSR on innovation performance in both the service and manufacturing industries, this study addressed the strategic benefit of CSR and extended research focused on the financial benefits of CSR. Therefore, its findings contribute to our understanding of sustainability and innovation issues. From a theoretical perspective, this study extended the RBV, SDL and stakeholder theory to the context of the CSR-innovation relationship, and showed that firms could align CSR and innovation initiatives to achieve strategic synergy. It also revealed the similarities and differences between service and manufacturing firms regarding the mechanism through which CSR affects innovation.
46 citations
TL;DR: The findings show that the information quality, perceived reliability and product diagnosticity of food traceable system affect consumer perceived value, and the perceived value and purchase intention are positively associated, while consumer expertise acts as a moderator on the relationship between food traceability system and consumer perceivedvalue.
Abstract: Based on the involvement and customer-delivered value theories, this paper proposes a comprehensive framework with which to examine the relationships between food traceability system, consumer perceived value and purchase intention. The study also investigates the moderating role of consumer expertise in the relationship between food traceability system and perceived value.,Survey approach is the primary data collection tool, through which a total of 238 useable responses were obtained. Structural equation modelling is employed to examine the hypothesized relationships among all variables.,The findings show that the information quality, perceived reliability and product diagnosticity of food traceability system affect consumer perceived value, and the perceived value and purchase intention are positively associated, while consumer expertise acts as a moderator on the relationship between food traceability system and consumer perceived value.,This study sheds light on how consumer perceived value of food traceability system can enhance their intention to purchase traceable food. It contributes to the theory of customer-delivered value and involvement as well as traceable product marketing strategies. From a managerial perspective, guidelines are provided for traceable food producers and marketers to implement reasonable strategies to attract consumers to purchase and promote the sustainable development of food industry.
46 citations
TL;DR: The purpose of this study is to identify and prioritize the factors that can positively influence the implementation of a blockchain-based supply chain via an integrated framework and to assess their importance for successful blockchain implementation in the supply chain management process.
Abstract: The purpose of this study is to identify and prioritize the factors that can positively influence the implementation of a blockchain-based supply chain via an integrated framework. To the best of the authors' knowledge, no previous study has focused on prioritizing these factors.,First, this study conducts a multivocal literature review, and a total of 48 success factors (SFs) are identified and mapped into 11 categories. Second, the identified success factors and their categories are further validated by industry practitioners using a questionnaire survey approach. Finally, this study applies an analytical hierarchy process to prioritize the identified SFs and their categories and to assess their importance for successful blockchain implementation in the supply chain management process.,The “Accessibility” category has the highest importance, and the “Overall efficiency” category has the second highest rank. As far as the success factors are concerned, “Trackability” and “Traceability” are considered to be the prime success factors of a blockchain-based supply chain. The taxonomy of the categories and their success factors provide an outline for supply chain organizations to establish a strategy to implement blockchain technology.,This technology can be practically applied in a sustainable supply chain. Another vital application of this blockchain technology is in banking and finance because of the blockchain's immutable data recording property.,To the best of the authors' knowledge, there is no previous study focused on building a taxonomic model that allows supply chain organizations to compare this paper's model with existing models and outline the necessary actions to improve supply chain activities. The questionnaire-based survey developed to validate the success factors in real-world practices and the factors' prioritization can help academic researchers and industrial practitioners to set their strategic goals accordingly.
TL;DR: The aim of the study is to explore the possible practical impact of big data/business intelligence and Internet of Things on the purchasing process of premium automotive manufacturers, and the impact of these technologies on the buying process of these manufacturers.
Abstract: PurposeThe aim of the study is to explore the possible practical impact of big data/business intelligence and Internet of Things on the purchasing process of premium automotive manufacturers, and t ...
TL;DR: This study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordances and satisfaction.
Abstract: The aim of this study is to explore, identify and understand the impact of technology affordance in the context of social networking sites (SNSs) Moreover, this study incorporates user experience as a moderator, in order to explore behavioral differences between veterans (high-experience users) and newbies (low-experience users),A research model was developed to examine the influences of three technology affordances: interactivity, information and navigation on user satisfaction and SNS stickiness Totally 266 data were collected from a famous college in China using an online survey, and structural equation modeling technique was used to examine the proposed research model,The empirical research findings indicated that the three technology affordance attributes exhibited different degrees of influence on user satisfaction, which in turn facilitated SNS stickiness Particularly, high-experience users were more likely influenced by interactivity and information affordances, while low-experience users are more susceptible to navigation affordance,This study can provide guidelines to the platform administrators to design SNSs from the aspects of interactivity, information and navigation attributes and pay attention to the preference differences between high-experience users and low-experience users,This study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordance attributes and satisfaction
TL;DR: The main findings indicate that source credibility, observational learning and review quality are important antecedents of perceived usefulness of online reviews and self-control weakens the effect of positive affect on urge to buy impulsively and also weakensThe effect of urge toBuy impulsively on impulse buying behavior.
Abstract: Consumers often communicate with other consumers and perform impulse buying behavior on social commerce websites. Based on stimulus-organism-response framework and dual systems theory, the present study examines the effects of social interactions and self-control on consumers' impulse purchase.,An online survey consisting of 315 participants on social commerce websites was recruited to empirically examine the proposed research model. Partial Least Squares (PLS) was employed to analyze the research model.,Our main findings indicate that (1) source credibility, observational learning and review quality are important antecedents of perceived usefulness of online reviews, (2) source credibility, observational learning and perceived usefulness positively affect positive affect, which further results in urge to buy and impulse buying, (3) self-control weakens the effect of positive affect on urge to buy impulsively and also weakens the effect of urge to buy impulsively on impulse buying behavior.,The present study will bring more attention to social interactions in social networks in practice and encourage scholars to pay more attention to the reflective system in online impulse buying.
TL;DR: A new framework is provided to understand the relationships between e-commerce capabilities, organizational agility and agricultural firms’ performance gains and indicated that organizational agility plays a mediating role in conveying the positive influences of e- commerce capabilities on agricultural firms' performance gains.
Abstract: This study aimed to investigate the impact of e-commerce capabilities on agricultural firms’ performance gains through organizational agility.,A survey was used to collect data from 280 managers of agricultural firms. The proposed model was tested via structural equation modeling.,The empirical results indicated that organizational agility plays a mediating role in conveying the positive influences of e-commerce capabilities on agricultural firms’ performance gains. Specifically, managerial, talent and technical capabilities have different effects on market capitalization and operational adjustment agility, with talent capability performing the most important role. Market capitalization and operational adjustment agility have positive impacts on financial and nonfinancial performance gains, respectively.,This study provides a new framework to understand the relationships between e-commerce capabilities, organizational agility and agricultural firms’ performance gains.
TL;DR: In this article, the authors investigated how critical managerial IT capabilities, such as IT business spanning capability, interact with two pivotal types of technical IT capabilities (i.e., IT flexibility and IT integration) to affect organizational agility.
Abstract: The purpose of this research is to investigate how critical managerial IT capabilities, such as IT business spanning capability, interact with two pivotal types of technical IT capabilities (i.e. IT flexibility and IT integration) to affect organizational agility. Especially, the authors mainly examine a positive synergy or complementary relationship between IT business spanning capability and IT flexibility and a negative synergy or substitution relationship between IT business spanning capability and IT integration.,The authors develop a research model that integrates IT flexibility, IT integration, IT business spanning capability and organizational agility. Based on a matched-pair, cross-sectional field survey of IT and business managers, they use partial least squares (PLS) to analyze this research model.,IT flexibility and IT integration have been empirically proven to be positively associated with organizational agility. Furthermore, the research results indicate a positive synergy or complementary relationship between IT business spanning capability and IT flexibility, whereas they indicate a negative synergy or substitution relationship between IT business spanning capability and IT integration with regard to organizational agility. This finding demonstrates that IT business spanning capability can differentially influence organizational agility depending on its interaction with specific technical IT capability types. In addition, the effects of IT flexibility on organizational agility are high, whereas the effectiveness of IT integration decreases in the presence of high IT business spanning capability. Each type of technical IT capability displays different effectiveness under high IT business spanning capability. Thus, appropriate technical IT capability types should be carefully deployed, and highly effective technical IT capability types, such as IT flexibility, should be prioritized under high levels of IT business spanning capability.,This research highlights the joint effects of IT business spanning capability and two pivotal types of technical IT capabilities (i.e. IT flexibility and IT integration) on organizational agility, ultimately contributing to OM theories and practices.
TL;DR: Satisfying users' demand on green effectiveness, enjoyment, and social gain directly/indirectly predicts users' intention to continue to utilize the gamified IS for proenvironmental behaviors.
Abstract: This research draws on goal framing theory and gamification affordance to understand how gamification design encourages users' continuous usage of information systems (IS) to perform proenvironmental behaviors.,Survey data (N = 307) were collected from users of a gamified IS designed for environmental protection. The research model was examined with structural equation modeling.,Satisfying users' demand on green effectiveness, enjoyment, and social gain directly/indirectly predicts users' intention to continue to utilize the gamified IS for proenvironmental behaviors. Moreover, gamification affordance of autonomy support, visibility of achievement, competition, and interactivity influences the satisfaction of the users' relevant demands.,This research contributes to the IS research for environmental sustainability at the individual level. Specifically, this research extends the understanding of users' decision-making on continuance and the role of gamification design in the context of gamified IS developed for environmental conservation.
TL;DR: This research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg, and provides a comprehensive literature review.
Abstract: Cloud manufacturing (CMfg) is a networked manufacturing mode that promotes the agile, service-oriented, green and intelligent development of the manufacturing industry. Although some scholars have reviewed related studies of CMfg from multiple perspectives, these reviews are not fully systematic or well justified and fail to fully reveal the key characteristics in the development process of CMfg. The purpose of this paper is to systematically review the relevant research on CMfg via identification of key characteristics of definition, architecture, supporting technology and application of CMfg to provide critical information in decision support for the innovation and development of CMfg.,This study systematically reviews the relevant research on CMfg across theoretical methods to technical applications by integrating quantitative and qualitative methods. Word cloud method is used to quantitatively analyse the structure and feature of different definitions of CMfg. The principle of System Science is used to explore the basic components and functions of various CMfg architectures and their common and differing characteristics. A multi-level technology framework is developed to explore the development status of CMfg supporting technologies. A multi-stage application classification is proposed to reveal the application status of CMfg.,Through literature review, this study found that CMfg architecture is currently dominated by general architectures and lacks architectures that fit the actual enterprise characteristics; CMfg supporting technology is mature in the traditional cloud computing-based technology, but it is still weak in the development of virtualization and servitization technology, service scheduling technology; CMfg application is still in the initial stage and still lacks a relatively complete system application. By analysing the development status of CMfg, this study also identified potential research directions of CMfg in information management, service composition and evaluation, system application and sustainable development and other aspects.,This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. Chinese articles account for more than half of the total. The reason is that CMfg was proposed by the Chinese and CMfg is suitable for the development of China's manufacturing industry because of China's intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg.,Prior literature reviews ignore the identification and analysis of key feature identification for the current development of CMfg, including common and unique feature identification of different CMfg architectures and functions, multi-layer analysis and interpretation of CMfg technology and different stage analysis of CMfg applications. This study addresses these limitations and provides a comprehensive literature review.
TL;DR: An Industrial Internet of Things (IIoT) and digital twin-enabled Graduation Intelligent Manufacturing System (GiMS) with real-time task allocation and execution mechanisms is proposed to achieve real- time information sharing and production planning, scheduling, execution and control with reduced complexity and uncertainty.
Abstract: The purpose of this paper is to develop an intelligent manufacturing system for transforming production management and operations to an Industry 4.0 manufacturing paradigm.,A manufacturing mode-Graduation Manufacturing System is designed for organizing and controlling production operations. An Industrial Internet of Things (IIoT) and digital twin-enabled Graduation Intelligent Manufacturing System (GiMS) with real-time task allocation and execution mechanisms is proposed to achieve real-time information sharing and production planning, scheduling, execution and control with reduced complexity and uncertainty.,The implementation of GiMS in an industrial company illustrates the potential advantages for real-time production planning, scheduling, execution and control with reduced complexity and uncertainty. For production managers and onsite operators, effective tools, such as cloud services integrates effective production and operations management strategies are needed to facilitate their decision-making and daily operations at the operational level.,This paper presents an Industry 4.0 paradigm-GiMS, which aims to explore Industry 4.0 technologies opportunities on operations and production management, especially on production planning, scheduling, execution and control.
TL;DR: Light is shed on the internal mechanism through which SMEs' capabilities affect SCFP by introducing SCFS adoption and the role of situational factors in SCF in reducing ex-ante and ex-post information asymmetry is explored.
Abstract: This paper aims to explore how innovation capability and market response capability of small and medium-size enterprises (SMEs) affect their supply chain financing performance (SCFP) through supply chain financing solutions (SCFS) adoption. At the same time, the mechanism by which supply chain financing reduces information asymmetry before (ex-ante) and after (ex-post) SCFS adoption to promote SCFP is also inquired.,Drawing on enterprise competence theory, this paper proposes a theoretical model and tests it using survey data from a sample of 218 SMEs in China. Multiple regression analysis is employed to test the hypothesis.,The study finds that: (1) SMEs' innovation capability and market response capability positively affect SCFP. (2) SMEs' innovation capability and market response capability exert significantly positive effects on SCFS adoption. (3) SCFS adoption plays a mediating role between SME capabilities and SCFP. (4) Supply chain integration (SCI) and information technology application have no moderating effects on the relationship between SME capabilities and SCFS adoption. Finally, (5) SCI and information technology application have positive moderating effects on the relationship between SCFS adoption and SCFP.,Based on enterprise competence theory, this study sheds light on the internal mechanism through which SMEs' capabilities affect SCFP by introducing SCFS adoption and explores the role of situational factors in SCF in reducing ex-ante and ex-post information asymmetry. This study provides an innovative theoretical perspective on supply chain financing and enriches the existing research.
TL;DR: Results indicate that social pressure, technology anxiety, effort expectancy, performance expectancy, and service and system quality are not significantly related to behavioural intention, which suggests that the model is invariant across gender groups.
Abstract: The paper intends to examine mobile taxi (m-taxi) adoption, so as to close the gap in the current literature and clarify the behaviour of users by synthesising technological factors that are related to the characteristics of m-taxi applications with non-technological factors that are associated with the psychological characteristics of customers. The moderating effects of gender were also tested.,A self-administered questionnaire was adopted for data collection with 415 useable responses. The theoretical lens was tested via partial least squares-structural equation modelling. Additionally, state-of-the-art techniques such as permutation and multigroup analysis were applied.,Results indicate that social pressure, technology anxiety, effort expectancy, performance expectancy, and service and system quality are not significantly related to behavioural intention. Also, findings show no significant differences among gender in this study, which suggests that the model is invariant across gender groups.,This study provides a novel insight by taking a broader perspective of ride-hailing terminology by considering both taxis and private vehicles.
TL;DR: It is revealed that end-user satisfaction, information quality, system quality, managerial information technology (IT) capability and technical IT capability significantly affect cloud computing success and has a strong and positive impact on firm performance.
Abstract: This study aims to investigate the determinants of successful implementation of cloud computing and, further, examines how cloud computing success influences firm performance.,The authors developed a conceptual framework based on the integration of several strands of literature in business studies and information systems. To test the proposed model, data were collected from 300 Chinese firms which have adopted cloud computing. To analyze the data, partial least squares structural equation modeling (PLS-SEM) was used. An importance-performance map analysis (IPMA) was also conducted to identify the critical factors that exhibit high importance but low performance.,The results of the study revealed that end-user satisfaction, information quality, system quality, managerial information technology (IT) capability and technical IT capability significantly affect cloud computing success. Additionally, cloud computing success has a strong and positive impact on firm performance. IPMA further confirms that managers need to concentrate more on system quality, information quality, user satisfaction and technical IT capability.,This paper is one of the few attempts to integrate several theoretical frameworks (i.e. IT capabilities and resource-based view, expectation-confirmation theory, and information system success theory) to develop a comprehensive model for understanding the key determinants of cloud computing success and its impact on firm performance. This study makes a useful contribution to the conventional information systems (IS) literature and IT management practice.
TL;DR: Information technology and marketing: an important partnership for decades for decades is described in Industrial Management and Data Systems.
Abstract: The enabling technologies that emerged from information technology (IT) have had a considerable influence upon the development of marketing tools, and marketing has become digitalized by adopting these technologies over time. The purpose of this paper is to demonstrate the impacts of these enabling technologies on marketing tools in the past and present and to demonstrate their potential future. Furthermore, it provides guidance about the digital transformation occurring in marketing and the need to align of marketing and IT.,This study demonstrates the impact of enabling technologies on the subsequent marketing tools developed through a content analysis of information systems and marketing conference proceedings. It offers a fresh look at marketing's digital transformation over the last 40 years. Moreover, it initially applies the findings to a general digital transformation model from another field to verify its presence in marketing.,This paper identifies four eras within the digital marketing evolution and reveals insights into a potential fifth era. This chronological structure verifies the impact of IT on marketing tools and accordingly the digital transformation within marketing. IT has made digital marketing tools possible in all four digital transformation levers: automation, customer interaction, connectivity and data.,The sequencing of enabling technologies and subsequent marketing tools demonstrates the need to align marketing and IT to design new marketing tools that can be applied to customer interactions and be used to foster marketing control.,This study is the first to apply the digital transformation levers, namely, automation, customer interaction, connectivity and data, to the marketing discipline and contribute new insights by demonstrating the chronological development of digital transformation in marketing.
TL;DR: This is the first scholarly attempt at comparing levels of resistance to innovation adoption to consumer satisfaction with the status quo to smartwatches from positive and inhibitory perspectives.
Abstract: This study explains and predicts smartwatch adoption trends among non-users of smartwatches based on theories of the diffusion of innovation and inertia. It explores the impact of satisfaction with the status-quo with traditional wristwatches, on attitudes toward smartwatches and intentions to adopt the technology.,The study used PLS-SEM to conduct a multi-group analysis considering high (HSQS) and low (LSQS) status-quo satisfaction groups. The multi-group analysis followed the MICOM procedure, and the software SmartPLS three was used to analyse the data.,The results suggest that attitudes of the LSQS group were more strongly impacted by perceived ease of use and trialability. Their attitude toward innovation also had a stronger effect on their adoption intention. For the HSQS group, social influence more strongly impacted adoption intention; this group also perceived the disruption associated with an innovation as greater than the LSQS group. Analysis using PLS-Predict indicated that both models have considerable predictive power.,Most scholarship on this subject has taken a positive view of the diffusion and adoption of smartwatches. This study considers smartwatches from positive and inhibitory perspectives. In the context of smartwatches, this is the first scholarly attempt at comparing levels of resistance to innovation adoption to consumer satisfaction with the status quo.
TL;DR: This study contributes to existing information systems and servitization literature by uncovering the varying effects of IT exploration and exploitation on radical and incremental service innovations and by revealing the different contingent roles of CFI in moderating the above effects in the manufacturing context.
Abstract: Purpose: This paper aims to explore the influence of information technology (IT) capability (i.e. IT exploration and exploitation) on service innovation and ultimately financial performance in manufacturing firms. Moreover, this paper examines the contingent role of cross-functional integration (CFI) on the IT capability–service innovation relationship. Design/methodology/approach: This study employs seemingly unrelated regression to test the theoretical model based on survey data from 121 manufacturers in China. Findings: IT exploration is positively related to radical and incremental service innovations, whereas IT exploitation is only positively related to radical service innovation. CFI positively moderates the relationship between IT exploitation and service innovation. Radical and incremental service innovations are positively related to manufacturers' financial performance. Originality/value: This study contributes to existing information systems and servitization literature by uncovering the varying effects of IT exploration and exploitation on radical and incremental service innovations and by revealing the different contingent roles of CFI in moderating the above effects in the manufacturing context.
TL;DR: Estimating and assessing second-order constructs using PLS-PM: the case of Composites of composites and Industrial Management and Data Systems.
Abstract: Purpose: The purpose of this study is threefold: (1) to propose partial least squares path modeling (PLS-PM) as a way to estimate models containing composites of composites and to compare the performance of the PLS-PM approaches in this context, (2) to provide and evaluate two testing procedures to assess the overall fit of such models and (3) to introduce user-friendly step-by-step guidelines. Design/methodology/approach: A simulation is conducted to examine the PLS-PM approaches and the performance of the two proposed testing procedures. Findings: The simulation results show that the two-stage approach, its combination with the repeated indicators approach and the extended repeated indicators approach perform similarly. However, only the former is Fisher consistent. Moreover, the simulation shows that guidelines neglecting model fit assessment miss an important opportunity to detect misspecified models. Finally, the results show that both testing procedures based on the two-stage approach allow for assessment of the model fit. Practical implications: Analysts who estimate and assess models containing composites of composites should use the authors’ guidelines, since the majority of existing guidelines neglect model fit assessment and thus omit a crucial step of structural equation modeling. Originality/value: This study contributes to the understanding of the discussed approaches. Moreover, it highlights the importance of overall model fit assessment and provides insights about testing the fit of models containing composites of composites. Based on these findings, step-by-step guidelines are introduced to estimate and assess models containing composites of composites.
TL;DR: Wang et al. as mentioned in this paper proposed a hybrid multi-step methodology that combines neutrosophic set theory, analytic hierarchy process (AHP) and technology for order preference by similarity to an ideal solution (TOPSIS) to complete the evaluation.
Abstract: PurposeCollaboration is an important emerging dimension of sustainable supply chain management. How to improve supply chain collaboration (SCC) by means of operational excellence approaches has become an important research topic. The Internet of things (IoT), an important means of operational excellence, has also received increased attention. For better collaboration by the IoT, this study proposes a novel methodology to evaluate the measures of IoT adoption in SCC.Design/methodology/approachBased on the six-domain model and the common classification of collaboration, the measures of the IoT and the criteria of SCC are developed, respectively. A hybrid multi-step methodology that combines neutrosophic set theory, analytic hierarchy process (AHP) and technology for order preference by similarity to an ideal solution (TOPSIS) is proposed to complete the evaluation.FindingsThe results show that improving information transparency, strengthening the integration of management information systems and improving large data processing abilities are the most important measures of the IoT in improving SCC. Measures such as introducing sensing technology and laser scanning technology rank at the bottom and are relatively unimportant.Practical implicationsThe research results provide insights and references for firms to improve SCC by adopting appropriate IoT measures.Originality/valueMost of existing studies indicate the significance of technology in SCC. But this study shows a different conclusion that technologies rank the bottom, while information transparency is more important. And a suitable explanation is given. It further enriches the theoretical studies in SCC field.
TL;DR: This work provides a rich conceptualization of an online disinhibition instrument that can serve as a springboard for future work to understand online deviant behaviors and adds to the repository of rigorous research scales in this area.
Abstract: Online disinhibition is one of the key factors leading to the occurrence of cyberaggression, cyberbullying and various forms of deviant behaviors in the online environment. To understand the composition of online disinhibition, this study aims to conceptualize online disinhibition and develop a measurement instrument for online disinhibition.,We followed a rigorous procedure to develop and validate the multidimensional instrument of online disinhibition in three phases: item generation, measurement development and instrument testing.,We developed a 23-item online disinhibition scale and identified six key dimensions: dissociative anonymity, invisibility, asynchronicity, solipsistic introjections, dissociative imagination and minimization of authority.,The online disinhibition instrument is an accessible and easily administered measure that can be used as a checklist for systems designers and administrators to evaluate the level of online disinhibition among users. It offers systems design information on how to prevent and combat online deviant behaviors on platforms.,This work provides a rich conceptualization of an online disinhibition instrument that can serve as a springboard for future work to understand online deviant behaviors. The newly developed measurement instrument of online disinhibition also adds to the repository of rigorous research scales in this area.
TL;DR: A laboratory experiment is presented in which two gamification elements, goal setting and feedback, are implemented in a wearable warehouse management system (WMS) interface to examine their effect on user engagement and performance in an item picking task.
Abstract: In a warehouse setting, where hourly workers performing manual tasks account for more than half of total warehouse expenditure, a lack of employee engagement has been directly linked to company performance. In this article, the authors present a laboratory experiment in which two gamification elements, goal setting and feedback, are implemented in a wearable warehouse management system (WMS) interface to examine their effect on user engagement and performance in an item picking task. Both implicit (neurophysiological) and explicit (self-reported) measures of engagement are used, allowing for a richer understanding of the user's perceived and physiological state.,This experiment uses a within-subject design. Two experimental factors, goals and feedback, are manipulated, leading to three conditions: no gamification condition, self-set goals and feedback and assigned goals and feedback. Twenty-one subjects participated (mean age = 24.2, SD = 2.2).,This article demonstrates that gamification can successfully increase employee engagement, at least in the short-term. The integration of self-set goals and feedback game elements has the greatest potential to generate long-term intrinsic motivation and meaningful engagement, leading to greater employee engagement and performance.,This article explores the underlying effects of gamification through two of the most prominent motivational theories (self-determination theory [SDT] and goal-setting theory) and one of the leading employee engagement models (job demands-resource model [JD-R[ model). This provides a theory-rich interpretation of the data, which allows to uncover the motivational pathways by which gamification affects engagement and performance.
TL;DR: Results show that resource sharing in logistics platform ecological circle can stimulate the interaction among enterprises and this produces a positive influence on their dynamic capabilities, which affects the they to work together to plan, implement and solve problems, so as to achieve the goal of improving enterprise performance.
Abstract: The purpose of this paper is to propose a framework of value co-creation in platform ecological circle for cold chain logistics enterprises to guide the transformation and development of cold chain logistics industry.,This paper establishes a conceptual framework for the research on the platform ecological circle in cold chain logistics, utilizes a structural equation model to investigate the influencing factors of the value co-creation of the platform ecological circle in the cold chain logistics enterprises and elaborates the internal relations between different influencing factors regarding the value co-creation and enterprises’ performance.,Results show that resource sharing in logistics platform ecological circle can stimulate the interaction among enterprises and this produces a positive influence on their dynamic capabilities, which, in turn, affects the they to work together to plan, implement and solve problems, so as to achieve the goal of improving enterprise performance.,The shared resources and value co-creation activities in the platform ecological circle are very important for the transformation and development of cold chain logistics enterprises. Therefore, enterprises should promote value co-creation through realizing resource sharing and creating a win-win cooperation mechanism.,This paper targets at incorporating the resource sharing in platform ecological circle for cold chain logistics enterprises, explores from an empirical perspective the role of the resource sharing in cold chain logistics enterprises in enhancing the dynamic capabilities of enterprises, thereby encouraging the value co-creation behavior, and ultimately boosts enterprise performance and stimulates business development.