ABSTRACT Literature review is part and parcel of scholarly research. Though many literature review guides are available, they remain limited because they do not adequately account for the different types of literature review. Noteworthily, literature reviews can manifest as part of conceptual or empirical studies, or as independent studies, in which the latter may be curated in various ways. Moreover, despite its importance and popularity, literature reviews, particularly as independent studies, continue to attract unfair criticism and remain scarce in service research. To address the aforementioned gaps, this article endeavors to provide an overview and guidelines for writing literature reviews. Specifically, this article explains (1) what a literature review is and is not, (2) why literature reviews are valuable, and (3) how to conduct a literature review, as well as (4) the areas of service research and (5) the innovative ways in which literature reviews can be curated in the future.

Advancing knowledge through literature reviews: ‘what’, ‘why’, and ‘how to contribute’

Gamification and e-learning for young learners: A systematic literature review, bibliometric analysis, and future research agenda

This study aims to investigates the effect of three customer orientation components - customer information-processing, responsiveness and values and norms - on a firm's decision to adopt environmental management practices. Consistent with the literature on strategy and industrial marketing, the authors also examine the moderating effect of marketplace characteristics.

Customer orientation and organizational innovation: the case of environmental management practices

In the rapidly changing business world, innovation plays a vital role for organizations to gain a competitive advantage. Various factors associated with technology management and innovations in organizations are diverse in the existing literature. Therefore, there is a need to bridge these gaps in the fitting proportions toward innovations within organizations. The primary objective of this study is to identify, explain and interpret the relationships between the identified technology-related factors that are important for innovations in organizations.,In this study, a modified total interpretive structural modeling (M-TISM) methodology was used to examine and analyze the various interactions between identified factors for innovations in organizations. However, the argumentation of the links is relatively weak in M-TISM. In order to compensate for this, M-TISM is additionally altered by an “Argumentation-based Modified TISM”. Hence, this research strengthens the modified TISM methodology by incorporating argumentation and total interpretation of the relationships between the identified factors.,A total of six major factors were identified using a literature review. Results suggest that workforce technical skills, technological infrastructure, technological alliances, technology transfer and top management support have an impact on innovation in organizations. Results also suggest that top management support and the technological infrastructure of an organization have a greater impact on innovation.,For policymakers and practitioners, this study provides a suggestive list of critical factors, which may help to develop policies or guidelines for improving innovation in organizations. Policymakers should focus on technological infrastructure and collaborations to enhance innovations and productions within the organizations. For academicians, this study provides a modified TISM model that shows the impact of technology-related factors on innovations. Future researchers could expand this study by adding a greater number of technological factors and validate this model in other industries.,This study fills a gap in the literature by interpreting the various relationships among the identified factors and innovations. The model has been validated through a panel of seven experts from the Indian automotive industry of multiple organizations. This study is useful in the automobile industry as it determines what and how technology-related factors affect innovations, process improvement and R&D production for organizations.

Technology management for innovation in organizations: an argumentation-based modified TISM approach

Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management

This paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline.,A seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time.,The search for a suitable dataset retrieved 642 documents by identifying “1969” as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers.,The study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

Before the COVID-19 pandemic, Indian firms have focused on interconnected and lean supply chains to ameliorate the gaps through increased efficiency of supply chains. However, the pandemic has exposed most of Indian firms to severe supply chains disruptions (SCDs) due to undiscovered supply chain vulnerabilities. Against this background, we reviewed the existing relevant literature on SCDs and transportation disruption, in general context and pandemic specific context and identified that there exists very little research on this issue especially in the context of Indian firms, and offered policy options by developing a new model of robust transport and advanced logistics system (ALS) for speedier supply chains recovery (SCR). We have utilized and analyzed the rich available literature on SCDs, transport intelligence (TI) and ALS using grey literature. The study reveals that many Indian firms have experienced major disruptions in transportation and logistics services, including impact on transportation and logistics data, time delays, and cargo cancellations due to cramped freight capacity, restricted circulation, closure of ports, and slow customs clearances. This has also impacted adversely the production and transport consignments including logistics services and led to delays and rerouting to final consumers. With gradual removal of restrictions, firms are making concerted efforts to recover from SCDs, however, weak applications of robust TI and advanced ALS, the SCR is relatively very slow. This calls for reviewing current transport and ALS used by firms on priority. Therefore, we offered a new model for addressing the SCDs using robust intelligence transportation systems and ALS.

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Recovering Supply Chain Disruptions in Post-COVID-19 Pandemic Through Transport Intelligence and Logistics Systems: India's Experiences and Policy Options

Customer-driven markets and developing information technology pressurise retailers to respond time effectively towards current and future demand. Responsiveness has been explored in the extant literature of manufacturing, operations and logistics from multiple facets. The paper primarily focuses on the examination of responsiveness variables and their inter-relationships in retail context. Total interpretive structural modelling (TISM) has been adopted to determine and interpret the interactions among the identified variables. The use of TISM has also revealed the important links and hierarchical associations. The findings of the study indicate firm performance and behavioural intentions to be privileged with highest dependence power and lowest driving power. The results of the analysis can act as a vital impetus to comprehend the level of driving power of different responsiveness variables. Management researchers and policy-makers shall primarily emphasise on the interactions and their interpretations between variables with high driving force. The study offers a ground-breaking understanding for retailers to consider their inherent capabilities that can be promoted to respond time-effectively. The findings can be insightful and feasible to formulate advanced retail policies and strategies in order to transform the retail paradigm. It specifically encapsulates the role and potential of retailer's responsive capabilities in entire supply chain, which was not previously covered by any study through TISM.

Retailer responsiveness: a total interpretive structural modelling approach

The ease and convenience of online shopping are shifting the customers to e-tailers. This has prompted offline retailers to re-examine behavioural patterns along with a reconfiguration for a responsive retail model. The paper investigates the influence of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour.,Data were collected via a survey answered by 793 fashion customers from India, and for data analysis, partial least square structural equation modelling (PLS-SEM) was employed. Path analysis was used to determine the interrelationships amongst the constructs used in the study.,The standardized path coefficients depict competitive responsiveness as the highest contributor of retailers' responsiveness followed by service responsiveness, employee responsiveness and customer responsiveness. The findings suggest that customer satisfaction acts as the biggest contributor to referral behaviour followed by cross-buying behaviour and revisit intentions.,This study has made a substantial contribution to fashion apparel retailing. The findings revealed that responsive retailing influences the customers' post-purchase behaviour as they engage in more cross-buying, revisiting and referral behaviour. The retailers are encouraged to carefully monitor their preparedness to deliver a combination of sensory, emotional, cognitive and social experience to their customers.

Deciphering the impact of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour

The paper analyzed the impact of the COVID-19 pandemic induced supply chain disruptions (SCDs) on the Indian automotive industry (IAI) using a case study of Maruti Suzuki India Limited (MSIL), which share about 50% of automotive market in India and offered mitigation strategies and the SCDs recovery model. The study revealed that the IAI is unlikely to achieve its target for 2021-2022 due to pandemic induced SCDs and MSIL is no exception. The study revealed that in 2019-2020, the MSIL reduced its production several times to adjust dealers’ inventories in view of unprecedented economic slowdown and the prolonged domestic slump in automobile industry. In 2020-2021, MSIL is still facing severe disruption risks caused by the COVID-19 along with other OEMs in India and globally. In the first wave of the pandemic in India, MSIL production was totally halted and domestic sales were virtually zero in April 2020. During the second wave of the pandemic crisis in India, MSIL again experienced a severe fall in production and sales performance due to regional lockdown restrictions and SCDs. The rapid decline in production of MSIL has been mainly due to the pandemic induced lockdown and the SCDs in auto-components and halt in manufacturing activities. Therefore, robust mitigation strategies are needed to recover from the COVID-19 induced SCDs. The suggested model focused on the SCDs and risk management and offered the proactive and reactive responses for speedier readjustment of automotive industry from the COVID-19 pandemic induced SCDs. Ending the COVID-19 era and its impact on SCDs will not only depend on government policies, but also on proactive and reactive risk mitigation measures initiated by the firms. Robust measures should be taken to tackle the current supply chain threats in automotive sector to build the resilience of supply chain systems to safeguard them against business downturns.

Rashi Taggar

Papers

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

Recovering Supply Chain Disruptions in Post-COVID-19 Pandemic Through Transport Intelligence and Logistics Systems: India's Experiences and Policy Options

Retailer responsiveness: a total interpretive structural modelling approach

Deciphering the impact of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour

COVID-19 Induced Supply Chain Disruptions and Automotive Industry: A Case Study of Maruti Suzuki India Limited and Mitigation Strategies