Showing papers in "Industrial Management and Data Systems in 2015"

An empirical study of wearable technology acceptance in healthcare

Abstract: – The purpose of this paper is to investigate the factors associated with consumer’s intention to adopt wearable technology in healthcare, and to examine the moderating effects of product type on consumer’s adoption intention. , – An integrated acceptance model was developed based on unified theory of acceptance and use of technology 2 (UTAUT2), protection motivation theory (PMT), and privacy calculus theory. The model was tested with 462 respondents using a survey. , – Consumer’s decision to adopt healthcare wearable technology is affected by factors from technology, health, and privacy perspectives. Specially, fitness device users care more about hedonic motivation, functional congruence, social influence, perceived privacy risk, and perceived vulnerability, but medical device users pay more attention to perceived expectancy, self-efficacy, effort expectancy, and perceived severity. , – This study is among the first to investigate healthcare wearable device from behavioral perspective. It also helps to comprehensively understand emerging health information technology (HIT) acceptance from technology, health, and privacy perspectives.

Factors influencing the use of social media by SMEs and its performance outcomes

Abstract: Purpose – The purpose of this paper is to investigate the factors that influence Facebook usage among small and medium enterprises (SMEs). In addition, it examines the impact of Facebook usage on financial and non-financial performance of the SMEs. Design/methodology/approach – Using integrated model, this study examined the influence of compatibility, cost effectiveness, interactivity and trust on Facebook usage and its subsequent impact on organizations performance. Statistical analyses were based on the data collected, through survey questionnaire from 259 SMEs in Malaysia. Partial Least Square (PLS) method was used to test the hypotheses. Findings – The study revealed that Facebook usage has a strong positive impact on financial performance of SMEs; similarly it was also found that Facebook usage positively impacts the non-financial performance of SMEs in terms of cost reduction on marketing and customer service, improved customer relations and improved information accessibility. Additionally, factors...

The effects of convenience and speed in m-payment

Abstract: Purpose – The purpose of this paper is to uncover the effects of perceived transaction convenience (PTC) and perceived transaction speed (PTS) on unified theory of acceptance and use of technology (UTAUT) in the context of m-payment. Design/methodology/approach – A predictive analysis approach was used to examine the PTC and PTS using a two-stage partial least square (PLS) and neural network (NN) analyses. Findings – The findings reveal that only effort expectancy (EE) and facilitating conditions (FC) were discovered to significantly influence BI. More importantly, PTC was found to have positive significant relationship with EE and performance expectancy (PE). Moreover, PTS also supported the positive relationship with BI and EE. Practical implications – The findings of the study provided further insights to mobile payment service providers, online banking industry players, and all decision makers and stakeholders involved. Originality/value – Despite of many attempts devoted to understand m-payment adopt...

What catalyses mobile apps usage intention: an empirical analysis

Abstract: – Considering the lack of understanding of the mobile applications (mobile apps) market and low usage rates among Malaysians, Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was adapted to investigate the determinants of consumer behavioural intention (BI) to use mobile apps. , – A total of 288 sample data was collected and analysed using partial least square equation modelling (PLS-SEM) method. , – All of UTAUT2 constructs (i.e. performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, and habit), except for price value and social influence, significantly relate with BI to use mobile applications. Habit was reported to have the strongest influence. Gender and educational level were found to be insignificant moderators. , – Mobile application developers could have better understanding on users’ needs and intention, based on the findings. , – In order to shed light on current problems, and there is a dearth in relevant studies which could resolve the issue, this paper contributes the necessary knowledge on mobile apps acceptance to developers. Educational level was added into UTAUT2 as a moderator in addition to gender.

Understanding perceived risks in mobile payment acceptance

Abstract: Purpose – The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance. Design/methodology/approach – An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model. Findings – Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention. Practical implications – The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers h...

Social media models, technologies, and applications: An academic review and case study

Abstract: Purpose – In recent years, social media have attracted considerable attention. Hence, the purpose of this paper is to conduct a critical literature review of social media research with the aim of developing a conceptual framework to explain how social media applications are supported by various social media tools and technologies and underpinned by a set of personal and social behavior theories or models. Design/methodology/approach – This study adopted a two-stage approach. The first stage involves a critical literature review of academic journals in social media research, followed by the proposal of a conceptual framework that highlights the tools and technologies as well as theories and models that serve as the foundation of social media applications. The second stage involves the use of an actual case to demonstrate how the proposed framework facilitates the development of a social media application for a regional division of an international non-government organization. Findings – The literature revi...

Sustainable supply chain management: A closed-loop network hierarchical approach

Abstract: Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five cri...

Building trust in internet banking: a trustworthiness perspective

Abstract: Purpose – Based on the trust theory, the purpose of this paper is to empirically examine the role of trustworthiness and trust in users’ intentions to continue using internet banking. Further, the authors position the trust beliefs of competence, benevolence, integrity, and shared values as key antecedents of trustworthiness and trust. Design/methodology/approach – A questionnaire survey was used to collect responses from 227 actual users of internet banking in Malaysian context. A PLS analysis was conducted to explore the relationships between trusting beliefs, trustworthiness, trust, and internet banking use. Findings – Empirical findings show that trusting beliefs of consistency, integrity, and shared values determine the trustworthiness and trust in internet banking. Moreover, trust was found to mediate the relationship between trustworthiness and internet banking use. Practical implications – The study findings help managers understand the factors that determine Malaysia users trust and trustworthiness perceptions in internet banking. With reports indicated increase in internet banking use in Malaysia, the study findings provide important insights into enhancing users’ trust in internet banking for future transactions. Originality/value – Unlike previous studies that have largely focussed on technology factors, this study based on trust theory proposes that trust is important for users to continue using internet banking services. In developing this trust, the authors propose that trustworthiness is of vital importance. Further, the authors propose and show that trusting beliefs of competence, integrity and shared values influence user trustworthiness and trust in internet banking use. Thus, this study extends the understanding of the internet banking use in Malaysian context.

Corporate sustainability development in China: review and analysis

Abstract: – The purpose of this paper is to threefold. The first purpose is to review and critically analyze corporate sustainability development (CSD) research in China. Second, the paper extracts a unified theoretical framework among CSD drivers, CSD practices, and corporate performance in China. Finally, it seeks to identify links between CSD and industrial management and data systems (IMDS) topics. , – A comprehensive and structured review of the research literature investigating CSD in China was completed. Categorizations and classifications of the literature were summarized. A critical analysis of the literature resulted in a generic theoretical framework that can be used for evaluation of the literature and further investigation. , – The literature review found over 189 papers on CSD in China published from 1997 to 2013. The framework developed focussed on relationships among drivers, practices, and performance within a CSD in China context. The framework provides useful insights into the implementation of CSD practices. The integration of the three dimensions of sustainability and decision-making methodology are still rare. Specific features of CSD are also reviewed with a linkage to IMDS research around information technology, business process modeling, and supply chain management. , – This is one of the first works to provide a comprehensive focus on CSD in China. The theoretical framework was developed for CSD in China to clarify the relationships between the drivers, the corporation’s characteristics, CSD practices, and corporation performance and will prove useful for future research development and investigation. The linkage to IMDS topics is novel and will help further research related to CSD in China for this journal.

Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world

Abstract: – Social media analytics uses data mining platforms, tools and analytics techniques to collect, monitor and analyze massive amounts of social media data to extract useful patterns, gain insight into market requirements and enhance business intelligence. The purpose of this paper is to propose a framework for social media competitive intelligence to enhance business value and market intelligence. , – The authors conducted a case study to collect and analyze a data set with nearly half million tweets related to two largest retail chains in the world: Walmart and Costco in the past three months during December 1, 2014-February 28, 2015. , – The results of the case study revealed the value of analyzing social media mentions and conducting sentiment analysis and comparison on individual product level. In addition to analyzing the social media data-at-rest, the proposed framework and the case study results also indicate that there is a strong need for creating a social media data application that can conduct real-time social media competitive intelligence for social media data-in-motion. , – So far there is little research to guide businesses for social media competitive intelligence. This paper proposes a novel framework for social media competitive intelligence to illustrate how organizations can leverage social media analytics to enhance business value through a case study.

Trust development and transfer in social commerce: prior experience as moderator

Abstract: Purpose – The purpose of this paper is to investigate the nature of social commerce trust, and how it impacts company trust and electronic word of mouth (eWOM) intention based on trust transfer theory. The authors also examine how customers’ prior transaction experience could impact their social commerce trust development and the trust transfer process. Design/methodology/approach – The proposed research model is empirically examined using a survey method consisting of 375 users of a social commerce web site (SCW). The statistical analysis applies a method based on variance using partial least squares. Findings – The results confirm positive impacts of social commerce trust on company trust, and their subsequent influences on consumers’ eWOM intention. Also, consumers’ prior experience is found to moderate the trust transfer process from information-based social commerce trust to company trust. Originality/value – The present study is one of the first few studies that attempts to explain trust development...

Effect of information sharing and process coordination on logistics outsourcing

Abstract: Purpose – The purpose of this paper is to test how integrative mechanisms, including information sharing and process coordination, influence logistics outsourcing, and how logistics outsourcing influence performance from an extended RBV perspective Design/methodology/approach – The structural equation modeling (SEM) method is used to examine the proposed model, based on data collected from 361 companies in greater China Findings – Integrative mechanisms are helpful for logistics outsourcing (basic, customized, and advanced outsourcing) Specially, information sharing contributes to customized and advanced outsourcing, but has no significant effect on basic outsourcing In contrast, process coordination improves basic and advanced outsourcing, but insignificantly influences customized outsourcing Besides, each type of logistics outsourcing has differently effects on 3PL users’ performance This study contributes to 3PL theories and practices Originality/value – This study empirically examines the antec

A comparative analysis of different paperless picking systems

Abstract: Purpose – Warehouse picking is often referred to as the most labour-intensive, expensive and time consuming operation in manual warehouses. These factors are becoming even more crucial due to recent trends in manufacturing and warehousing requiring the processing of orders that are always smaller and needed in a shorter time. For this reason, in recent years more efficient and better performing systems have been developed, employing various technological solutions that can support pickers during their work. The purpose of this paper is to introduce a comparison of five paperless picking systems (i.e. barcodes handheld, RFID tags handheld, voice picking, traditional pick-to-light, RFID pick-to-light). Design/methodology/approach – Warehouse picking is often referred to as the most labour-intensive, expensive and time consuming operation in manual warehouses. These factors are becoming even more crucial due to recent trends in manufacturing and warehousing requiring the processing of orders that are always ...

Gender differences in satisfaction with Facebook users

Abstract: Purpose – The purpose of this paper is to examine the factors associated with user satisfaction in the social network sites (SNSs), and to explore the moderating effects of gender on user satisfaction. Design/methodology/approach – A research model was built upon the expectation disconfirmation model (EDM) with a focus on SNSs specific motivations (i.e. relationship maintenance and entertainment). The model was tested empirically with 221 experienced Facebook users using an online survey. Findings – The research model explained 40.5 percent of the variance in user satisfaction. In addition, the results showed that entertainment plays a more important role in determining user satisfaction with SNSs for male users, while relationship maintenance is more important in determining user satisfaction with SNSs for female users. Research limitations/implications – The current study enriched the theoretical understanding of user satisfaction in the context of SNSs. Particularly, perceptions and disconfirmations ab...

A proactive decision making framework for condition-based maintenance

Abstract: – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. , – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed. , – In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified. , – The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required. , – The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.

Purchasing alignment under multiple contingencies: a configuration theory approach.

Abstract: Purpose – Strategic alignment is a theory-based state that is considered as crucial for organizations in order to realize performance gains from information technology (IT) investments and deployments. Within the domain of purchasing and supply chain management there has been a growing interest on how purchasing strategy can be effectively aligned with IT and what conditions facilitate this state. The purpose of this paper is to investigate complex causal relationships of contingency elements that are key in enabling the “fit” between purchasing strategy and IT. Design/methodology/approach – The paper employs a configuration theory approach and propose that purchasing alignment is dependent upon patterns of multiple contingencies. In adherence with contingency theory, the authors group these elements as relating to strategic orientation, organizational factors, and purchasing decisions. On a sample of 172 international companies the authors then apply the novel methodology of fuzzy set qualitative compara...

Emotions and continued usage of mobile applications

Abstract: Purpose – A pressing issue with mobile applications (apps) is continued use. The expectancy disconfirmation theory is employed as the theoretical basis for most studies on continuance. Recognising the experiential aspects of using mobile apps, the purpose of this paper is to extend the existing disconfirmation model to account for the emotional experiences and their influences on continuance. In particular, the authors are interested in the factors that drive the experience of emotions, and how these cognitive drivers differ in shaping distinct emotional experiences (i.e. positive vs negative). Design/methodology/approach – Structural equation modelling was applied on 271 valid responses collected from an online survey conducted among mobile app users. Findings – Disconfirmation affects emotions in a non-linear fashion through arousal, and both positive and negative emotions influence continuance intention. Furthermore, positive emotions tend to be influenced by inherent benefits, whereas negative emotion...

Integrating multi-criteria decision making and clustering for business customer segmentation

Abstract: – The purpose of this paper is to develop a systematic approach for business customer segmentation. , – This study proposes an approach for business customer segmentation that integrates clustering and multi-criteria decision making (MCDM). First, proper segmentation variables are identified and then customers are grouped by using hierarchical and partitional clustering algorithms. The approach extended the recency-frequency-monetary (RFM) model by proposing five novel segmentation variables for business markets. To confirm the viability of the proposed approach, a real-world application is presented. Three agglomerative hierarchical clustering algorithms namely “Ward’s method,” “single linkage” and “complete linkage,” and a partitional clustering algorithm, “k-means,” are used in segmentation. In the implementation, fuzzy analytic hierarchy process is employed to determine the importance of the segments. , – Business customers of an international original equipment manufacturer (OEM) are segmented in the application. In this regard, 317 business customers of the OEM are segmented as “best,” “valuable,” “average,” “potential valuable” and “potential invaluable” according to the cluster ranks obtained in this study. The results of the application reveal that the proposed approach can effectively be used in practice for business customer segmentation. , – The success of the proposed approach relies on the availability and quality of customers’ data. Therefore, design of an extensive customer database management system is the foundation for any successful customer relationship management (CRM) solution offered by the proposed approach. Such a database management system may entail a noteworthy level of investment. , – The results of the application reveal that the proposed approach can effectively be used in practice for business customer segmentation. By making customer segmentation decisions, the proposed approach can provides firms a basis for the development of effective loyalty programs and design of customized strategies for their customers. , – The proposed segmentation approach may contribute firms to gaining sustainable competitive advantage in the market by increasing the effectiveness of CRM strategies. , – This study proposes an integrated approach for business customer segmentation. The proposed approach differentiates itself from its counterparts by combining MCDM and clustering in business customer segmentation. In addition, it extends the traditional RFM model by including five novel segmentation variables for business markets.

High-performance human resource management and firm performance: The mediating role of innovation in China

Abstract: Purpose – Human resources have become a key issue in relation to the strong competition between service firms. Therefore, the purpose of this paper is to explore the relationship between high-performance human resource management (HRM) within this field to firm performance, making a useful attempt to explore the “black box” of enterprise human resources management effect on firm performance. Design/methodology/approach – In order to validate the relationship between high-performance HRM and firm performance, Chinese service industry samples were collected. Structural equation modeling and regression are adopted to estimate the direct effect of high-performance HRM on firm performance and the mediating role of innovation. Findings – The results show that the impacts of high-performance HRM on firm performance are significant. Moreover, innovation plays a partial mediating role between them. Training, work analysis and employee participation has a significantly positive impact on firm performance, while eff...

Impact of organizational culture and computer self-efficacy on knowledge sharing

Abstract: Purpose – The purpose of this paper is to examine the impact mechanism of organizational culture (OC) on Enterprise Resource Planning (ERP) user’s explicit and tacit knowledge-sharing behavior in the context of enterprise systems usage. Design/methodology/approach – Drawing from social cognitive theory, the authors developed a comprehensive model that integrates OC, computer self-efficacy and employees’ knowledge-sharing behaviors. In total, 343 valid questionnaires were collected from ERP users of 115 firms and structural equation modeling technique was used to test the model. Findings – Empirical results suggest that hierarchical culture that focusses on efficacy and uniformity is positively related with employees’ explicit knowledge sharing; group culture that focusses on trust and belonging is positively related with employees’ tacit knowledge sharing, and their relationship is fully mediated by employees’ computer self-efficacy. In addition, computer self-efficacy also partially mediates the relation...

Impact of human resources on supply chain management and performance

Abstract: Purpose – The purpose of this paper is to demonstrate that human resource management (HRM) has an impact on supply chain management (SCM), which in turn has a significant impact on customer satisfaction (CS) and organisational performance (OP), playing a mediating role in the relationship between HRM and SCM outcomes (SCMO). Design/methodology/approach – The model is first validated and the hypotheses formulated are tested using the partial least squares structural equation model (SEM), based on five constructs: HRM, SCM implementation (SCMI), SCMO, customer satisfaction and organisational performance, taken from an existing model tested previously in a different geographical context. To do this, a survey was conducted and 231 valid responses were obtained. Findings – The empirical results reveal that HRM had significant direct and indirect impacts on SCMO, and SCMI, which in turn played a mediating role in the relationships between HRM and SCMO. CS also played a mediating role in the relationships between SCMO and OP. This finding suggests that the successful implementation of SCM not only directly improves SCMO, but it also indirectly increases CS and OP. Research limitations/implications – A firm’s human resource practices need to be aligned with its SCM to foster the involvement of the members of the supply chain (SC), promote the integration of the SC and, consequently, ensure better business outcomes. Originality/value – The study provides an original analysis not only in terms of the measurement of the relationship between HRM and SCM, but also with regard to its examination of the mediating effects, thus shedding light on the mechanisms by which these relationships are produced, and how this impacts CS and OP. This has allowed us to obtain more insightful results than those reported in the literature to date.

Modes of service innovation: a typology

Abstract: Purpose – The purpose of this paper is to explore different modes of service innovation by examining business model innovation alongside two traditional modes: product innovation and process innovation. Design/methodology/approach – The authors first empirically test a typology using archival data from 69 service innovation projects in a major mobile telecom company. The authors then extend the typology by investigating the interrelationships among service product, service process, and business model innovation based on empirical evidence from multi-mode service innovations. Finally, the authors study the patterns of modes in a networked environment. Findings – The results indicate that the typology is applicable and all three modes of service innovation exist in the sample. The authors find that all of the business model innovations involve external partnerships during the development process, while only a small proportion of service process innovations involve external partnerships. Originality/value – ...

Using Twitter data to predict the performance of Bollywood movies

Abstract: Purpose – The purpose of this paper is to address the shortcomings of limited research in forecasting the power of social media in India. Design/methodology/approach – This paper uses sentiment analysis and prediction algorithms to analyze the performance of Indian movies based on data obtained from social media sites. The authors used Twitter4j Java API for extracting the tweets through authenticating connection with Twitter web sites and stored the extracted data in MySQL database and used the data for sentiment analysis. To perform sentiment analysis of Twitter data, the Probabilistic Latent Semantic Analysis classification model is used to find the sentiment score in the form of positive, negative and neutral. The data mining algorithm Fuzzy Inference System is used to implement sentiment analysis and predict movie performance that is classified into three categories: hit, flop and average. Findings – In this study the authors found results of movie performance at the box office, which had been based ...

Identifying the drivers of enterprise resource planning and assessing its impacts on supply chain performances

Abstract: – Enterprise resource planning (ERP) is intended to integrate all facets of a company’s business operations encompassing production planning, material purchasing, inventory control, logistics, accounting, finance, marketing, and human resource management by creating a single depository of the database that can be shared by the entire organization and its trading partners. Through an empirical study, the purpose of this paper is to identify a multitude of drivers that facilitate or hinder the implementation of ERP in business environments. Also, this paper determines its role in supply chain operations and assesses its impact on supply chain performances. , – To examine which factors drive the ERP adoption and gauge the level of the ERP success, the authors develop a research framework based on two well-known theories in the strategy literature: a contingency theory; and a resource-based view of the firm. This research framework allowed us to develop a series of hypotheses regarding the use of ERP for strategic sourcing. To test hypotheses, the authors carried out the study in three phases: a pre-pilot; a pilot; and a large-scale questionnaire survey. In the pre-pilot phase, the authors generated potential survey items through theory development and a literature review. In the pilot phase, the authors develop a structural equation model along with the identification of valid constructs based on structural interviews and the Q-sort method. At the last stage, the authors conducted a large-scale survey via mail questionnaires primarily targeting the Korean industry comprised of manufacturers and their suppliers and customers. , – The firm’s ERP adoption and implementation decision is mainly affected by its internal environment. Defying the conventional wisdom, the firm’s external environment has little influence on its decision to adopt and implement ERP. However, through the mediating role of an internal environment, an external environment still indirectly influences the ERP adoption and ERP implementation decision. Also, the authors found that ERP could enhance the ERP adopter’s organizational capability and supplier capability. , – This study is one of a few attempts to investigate the role of ERP in the supply chain and identify important determinants influencing the ERP adoption and implementation decisions. Especially, in contrast with the previous literature which often gauged the benefits of ERP from an ERP adopter’s standpoint, this paper is one of the few to assess the benefits of ERP from the ERP adopter’s supply chain partners standpoints. Also, it is one of the first to assess the impact of ERP on supplier capability, organizational capability, and customer value.

Explaining knowledge sharing with social capital theory in information systems development projects

Abstract: Purpose – Owing to their complex and knowledge-intensive nature, information systems development (ISD) projects require effective collaboration between business and technology experts. In this regard, social capital theory may provide a valuable framework and insight into explaining knowledge sharing behavior in an ISD context. The purpose of this paper is to expand the theory of knowledge sharing as developed thus far in the ISD project context using the full-blown team social capital theory. Design/methodology/approach – The expertise and communication effectiveness of business and technology professionals were posited as antecedents of team social capital and knowledge sharing. The research model for this study integrates expertise, communication, knowledge sharing, social capital, and team performance into a structural equation modeling. The research model was empirically tested with a data set from business and technology professional pairs collected from 115 ISD project teams. Findings – The results...

A decision model for selecting parts feeding policies in assembly lines

Abstract: Purpose – The purpose of this paper is to develop an optimization model allowing the choice of parts feeding policy to assembly lines in order to minimize total cost. Design/methodology/approach – An integer linear programming mathematical model is developed to assign the optimal material feeding policy to each part type. The model allows choice between kitting, line stocking and just in time delivery policies. Findings – The choice of assembly lines feeding policy is not trivial and requires a thorough economic comparison of alternatives. It is found that a proper mix of parts feeding policies may be better that adopting a single material delivery policy for all parts. Research limitations/implications – The model is aimed at single-model assembly lines operating in a deterministic environment, but can be extended to the multi-model line case. While relevant quantitative cost drivers are included, some context-related qualitative factors are not included yet. The model assumes that information about prod...

Lean principles and simulation optimization for emergency department layout design

Abstract: Purpose – The purpose of this paper is to use lean principles and simulation optimization on solving a combined hospital emergency department (ED) layout design and staff assignment problem. Design/methodology/approach – This study is based on value stream mapping for the design and analysis of the ED. Subsequently, the authors investigate cellular manufacturing design, which addresses the decisions of continuous steps in a cell simultaneously and considers the optimal staff assignment. A simulation based on the case study is used for these methodologies. Simulation optimization is then used to optimize the staff assignments, minimize the waiting time and maximize the service level. Findings – The linear layout outperformed in both waiting time and service level. The patients’ average waiting time is reduced from 78 to 38 minutes. The service level increased from 54.86 to 88.55 percent. Moreover, the number of nurses was reduced from nine to six. Research limitations/implications – First, the tests for mo...

Exploring privacy and trust for employee monitoring

Abstract: Purpose – The purpose of this paper is to evaluate privacy boundaries and explores employees’ reactions in employee monitoring. Design/methodology/approach – The research used the metaphor of boundary turbulence in the Communication Privacy Management (CPM) theory to demonstrate the psychological effect on employees. The model comprised organizational culture, CPM, trust, and employee performance in employee monitoring to further investigated the influence exerted by organizational culture and how employees viewed their trust within the organization when implementing employee monitoring. Variables were measured empirically by administrating questionnaires to full-time employees in organizations that currently practice employee monitoring. Findings – The findings showed that a control-oriented organizational culture raised communication privacy turbulence in CPM. The communication privacy turbulence in CPM mostly had negative effects on trust in employee monitoring policy, but not on trust in employee moni...

Improving the predictability of business failure of supply chain finance clients by using external big dataset

Abstract: – The purpose of this paper is to help the financial institutions improve the predictability of business failure of supply chain finance (SCF) clients with the use of external big data set. , – A prediction model for the business failure of SCF clients was built upon different theoretical perspectives. Logistic regression method was deployed to test the model. , – The authors develop a model that illustrates several key determinants to predict the probability of business failure of SCF clients based on several theoretical perspectives. The results show that taxable sales revenue, frequency of making value added tax (VAT) payment, number of counterparty for VAT invoice issuance, frequency of VAT invoice issuance and firm age are negatively correlated with business failure of SCF clients while the VAT paid and industry clockspeed are positively correlated with their business failure. , – This paper shows how financial institutions can effectively leverage the external information sources through “unconventional” predictor variables in order to reduce the credit risks associated with business failure of SCF clients. , – This paper is one of the first to focus on the potential use of financial big data set from external sources to improve of predictability of financial institutions on the business failure of SCF clients. In addition, this paper is a pivotal study on the financial client risk assessment based on taxpaying behaviors, tax amount, firm and industry characteristics.

The model of HRM-trust-commitment relationships

Abstract: Purpose – It is worth focusing on the examination of factors influencing the quality of the work environment. The purpose of this paper is to verify the influence of the HRM system and organisational trust on employee commitment. Design/methodology/approach – The survey was conducted in Poland among 370 employees in organisations from two sectors of the economy: services and industry. The verification of the theoretical model was performed based on structural equation modelling. Findings – Research findings made it possible to successfully verify the model of the relationship between the HRM system (practices, process), organisational trust and commitment. The starting point for trust in an organisation followed by commitment is the HRM system. It seems that the impact of the HRM process on creating organisational trust is higher. Research findings have also confirmed a relationship between each type of organisational trust and calculative commitment based on benefits, which is a strong determinant of aff...