Awareness of antecedents and consequences of trust in m-commerce can enable m-commerce service providers to design suitable marketing strategies. Present study conducted a meta-analysis of 118 related empirical studies. The results indicate that antecedents namely perceived usefulness, perceived ease of use, system quality, information quality, service quality, user interface, perceived risk, perceived security, structural assurance, ubiquity, and disposition to trust, while consequences namely attitude, user satisfaction, behavioral intention, and loyalty have significant relationship with trust in m-commerce. Further, all the relationships were found to be moderated by culture except perceived ease of use, disposition to trust, and attitude. © 2019 Elsevier Ltd

Purpose: In the recent years, the two increasingly popular topics, namely, Industry 4.0 and circular economy (CE) have attracted the attention of many academicians and practitioners. However, the connection between CE and Industry 4.0 has not been much investigated in the literature. Motivated by this gap, the purpose of this paper is to integrate these two streams and attempt to understand the new paradigm of Industry 4.0 for resolving the issues pertaining to CE principles. Design/methodology/approach: The study uses situation, actor, process, learning, action, performance (SAP-LAP) linkages framework to analyze the applications of Industry 4.0 mechanisms in realizing the issues of current CE business models. This is done through the interpretation of the cross-interaction and self-interaction relationships among the different interfaces/elements of SAP-LAP. Findings: The results suggest that top managers are the most essential actors for integrating the use of Industry 4.0 to achieve sustainability, in the light of CE. In addition, advanced technologies such as Internet of Things and cyber-physical systems are the most important Industry 4.0 actions that help in improving the CE performance parameters. Research limitations/implications: This qualitative study is an attempt to analyze and assess the strategic issues pertaining to Industry 4.0 standards in CE. The study identifies learnings (challenges/opportunities) and the corrective actions which are imperative toward achieving CE principles. This study will guide managers and policymakers to understand the importance of implementing Industry 4.0 for accomplishing CE principles. Originality/value: This study integrates two important streams of literature – Industry 4.0 and CE. Thus, this paper offers insights about the importance of Industry 4.0 standards in achieving CE principles. © 2019, Emerald Publishing Limited.

Purpose: This study aims to investigate India’s poor performance in the overall implementation of e-Governance despite significant improvements in the quality and scope of e-Government services in the country. Design/methodology/approach: The study proposes a conceptual model based on four hypotheses that are tested using the structural equation modeling technique. Based on the results obtained, the conceptual model is suitably modified. Findings: The major finding of the study is that “English proficiency” and “digital divide” sequentially mediate the relationship between “service quality” and the “willingness to adopt e-Governance” in India. Research limitations/implications: The conceptual model emerging from the study adds to the literature on e-Governance service quality and adoption. However, a longitudinal or experimental study may provide more insights into the context. Practical implications: Primarily, this study would interest agencies involved in developing and delivering e-Governance services. Besides, the findings may be useful for the “big data companies” that are interested in gaining direct access to the last-mile users of developing countries. Social implications: The study intends to provide directions to policymakers on improving access to e-Governance services for the people who are deprived of the benefits of such services. Originality/value: This is the first study to incorporate both English proficiency and digital divide in a single conceptual model in the literature related to the relationship between service quality and the willingness to adopt e-Governance. © 2019, Emerald Publishing Limited.

Smart City (SC) has been a popular area of research and practice during the last decade. An in-depth examination of the existing literature reviews on SCs divulges the scarcity of studies classifying the literature into multiple themes and identifying the popular and less popular themes based on the number of peer reviewed research papers under respective theme. Hence, in this study, a descriptive literature review of 86 peer-reviewed papers on SCs has been conducted to bridge this gap. The findings demonstrate that themes such as SC services design and management, innovation and technology, and citizens’ engagement in design and development of SCs have been extensively studied, whereas, themes such as the social impact, governance and policy, and performance indicators and standards have received moderate attention. However, there are also less popular themes such as the implementation barriers and SC strategy. Further, this study provides a reference source to future researchers. It also delivers valuable information to the policymakers and government bodies, which are actively, involved in the SC projects. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

This article studies the competitive dynamics between an incumbent and a late entrant in a market governed by network effects. Classifying markets based on decision criterion used by majority of consumers in a market, an analytical model for the likelihood of incumbent displacement in these markets is developed and corroborated using simulations. Using product quality offered and product price charged by the entrant as managerial levers, the impact of managerial decision-making on the expected market share of the entrant is discussed. Efficacy of seeding and delayed entry by the entrant in an attempt to perfect its product is also examined. © The Author(s) 2019.

In today’s dynamic business landscape, Corporate Social Responsibility (CSR) is considered as an important strategic initiative for attaining sustainable competitive advantage. The present study aims to examine (i) the influence of consumer’s perceived firm innovativeness (CPFI) and consumer trust on perceived CSR activities of the firm and (ii) the mediating role of perceived CSR in the relationship between (iia) consumer’s perceived firm innovativeness and purchase intention (iib) consumer trust and purchase intention. Four hypotheses were tested with the primary data (n = 287) collected through a structured questionnaire. The regression analysis revealed that CPFI and consumer trust have direct positive impacts on the perceived CSR. Further, perceived CSR mediates the relationship between CPFI and purchase intention. However, perceived CSR does not play a mediating role between Consumer Trust and Purchase Intention. Overall, the findings of this study indicate that engagement in the CSR activities tend to reduce the perceived risk associated with innovation and consequently, influence the purchase intention among consumers. Theoretical and managerial implications are further discussed. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

Purpose: The purpose of this paper is to examine the efficacy of diversification-based learning (DBL) in expediting the performance of simulated annealing (SA) in hub location problems. Design/methodology/approach: This study proposes a novel diversification-based learning simulated annealing (DBLSA) algorithm for solving p-hub median problems. It is executed on MATLAB 11.0. Experiments are conducted on CAB and AP data sets. Findings: This study finds that in hub location models, DBLSA algorithm equipped with social learning operator outperforms the vanilla version of SA algorithm in terms of accuracy and convergence rates. Practical implications: Hub location problems are relevant in aviation and telecommunication industry. This study proposes a novel application of a DBLSA algorithm to solve larger instances of hub location problems effectively in reasonable computational time. Originality/value: To the best of the author’s knowledge, this is the first application of DBL in optimisation. By demonstrating its efficacy, this study steers research in the direction of learning mechanisms-based metaheuristic applications. © 2019, Emerald Publishing Limited.

Purpose: The purpose of this paper is to empirically examine the relationships between low carbon supply chain practices and their relationships with environmental sustainability (ES) and the economic performances (EP) of firms. The study also includes an examination of the low carbon supply chain practices that are utilized by Indian manufacturing firms. Design/methodology/approach: Through a questionnaire-based survey, the data received from 83 Indian manufacturing firms was analyzed using a variance-based structural equation modeling technique to test the proposed hypotheses. Findings: The study indicates that carbon governance is a strategic imperative for the adoption of low carbon supply chain practices. Similarly, low carbon product and process design (LCPPD), manufacturing and logistics lead to improved ES. In addition, low carbon purchasing is positively related to the adoption of LCPPD, manufacturing and logistics. No significant relationship was found between the adoption of low carbon supply chain practices and the EP of a firm. Practical implications: The findings of this study may assist manufacturing managers in prioritizing operational practices for the reduction of emissions. Originality/value: This study provides two major contributions to green supply chain management. First, it provides comprehensive empirical evidence on low carbon supply chain practices that are being followed by Indian manufacturing firms. Second, this study also empirically validated a structural model of low carbon supply chain practices. © 2019, Emerald Publishing Limited.

The current research examines the influence of past environmental behavior, peer influence, and green apparel knowledge on green apparel perceived benefits and consequently, its impact on green apparel purchase behavior. Data was collected through a mall intercept technique in cities across India. Past environmental behavior, peer influence, and green apparel knowledge influenced green apparel perceived benefits and consequently, apparel purchase. Perceived benefits were related to attributes like the perceived value in buying fair trade clothing and self-image enhancement. Green apparel brands are becoming popular among Indian consumers, as many fashion designers are using traditional fabrics and fibers to design fashion apparel. Green apparel manufacturers can use the findings to create awareness about altruistic, physical, and esthetic product attributes. These attributes could be linked with green self-identity, style, self-enhancement, and eco-consciousness. Educating and informing consumers about environment-friendly attributes and benefits through social influence can create a favorable perception of green apparel benefits and its value. © 2019, © 2019 Taylor & Francis Group, LLC.

Purpose: The article presents an overview of the Human Resources Information Systems (HRIS) and its relevance in the current organizational context. It broadly captures the advantages of HRIS and the significant challenges involved in its implementation and succeeding stages. Design/methodology/approach: A string of research articles in the domain is reviewed for the briefing. Findings: HRIS is salient in supplementing various Human Resource (HR) functions ranging from HR planning to performance management. It can act as a catalyst in establishing the significance of HR in strategic decision making. It helps managers to effectively store large amounts of employee data and draw inferences from it to make pro-employee decisions. However, despite being relevant in HR functions, HRIS is often surrounded by concerns like employee privacy breach and misuse of information. Originality/value: The article showcases the transformation of the Human Resource function to strengthen its strategic position in the organization and sustain HR professionals. Adoption of HRIS helps to convert HR to a data-driven function. © 2019, Emerald Publishing Limited.

Purpose: This study aims to fulfill the need to explore positive side of work–family interface, especially in emerging economies like India. The authors assessed the relationships of individual (family role salience), organizational (work–family culture) and social (community support) antecedents to work-to-family enrichment. They also examined whether gender moderated the relationship between the three antecedents and work-to-family enrichment. Design/methodology/approach: Data were collected on a questionnaire scale from 487 employees. Findings: It has been found that family role salience, supportive work-family culture and community support were directly related to work-to-family enrichment. Gender did not influence the relationship between work-family culture and work-to-family enrichment. However, relationships between family role salience and work-to-family enrichment, and between community support and work-to-family enrichment, were stronger in case of the male employees. The evolving nature of gender and integration of work-family-community domain provide insights into managers and policymakers about the importance of family and community in the organizations. Practical implications: The study builds a business case for facilitating a positive work-family culture in India for both male and female employees. The results point to the transitioning socio-cultural scenario of India, which advocates more similarities than differences in modern gender role expectations and identity. The current study emphasizes that while formulating policy, managers and policymakers should keep in mind evolving preferences of both the genders. Originality/value: The research provides a holistic view of how individual-, organizational- and social-level factors may affect employees’ work–family enrichment in India. It also highlights the changing role of gender. Theoretical and practical limitations are also discussed. © 2019, Emerald Publishing Limited.

Purpose: The purpose of this paper is to validate the consumer styles inventory (CSI) scale for understanding the decision-making styles of shopping app users. The validated scales are used to examine the relationship between consumers’ decision-making styles and factors affecting the use of mobile shopping apps. Design/methodology/approach: A total of 428 valid responses are collected from the users of the five most popular shopping apps. The mobile shopping apps are selected based on a popularity study. Data are collected from mobile app shoppers through an online survey. Findings: Findings reveal a new set of factors that can be used for understanding use of mobile shopping apps. Decision-making styles influence the adoption of mobile apps for shopping. Factors responsible for the adoption of mobile shopping apps such as usefulness and risk perceptions differ across consumers with different decision-making styles. Practical implications: The findings would facilitate online retailers in building focused marketing strategies for segmenting and targeting the consumers having different decision-making styles. Originality/value: The current research is the first of its kind to examine the applicability of the CSI scale in the context of mobile app shoppers in an emerging economy. The findings enrich the existing literature by providing empirical support to the relationship between decision-making styles and factors affecting adoption of shopping using mobile apps. © 2019, Emerald Publishing Limited.

Purpose: The exponential growth of organised retail has led to competition among mall retailers with the use of promotions to increase traffic to the stores. The footfall in the malls is dependent on the sales generated by various retail stores located in the malls. The current research analyses the role of promotions used by the retailers located in Indian malls in improving consumers’ commitment towards the mall. The purpose of this paper is to examine the influence of culture, personality traits like value consciousness, price consciousness and coupon proneness, and promotions used by retailers in malls on consumers’ commitment towards the malls. Design/methodology/approach: Eight malls from six cities were selected by popularity and footfall. Mall-intercept technique along with systematic sampling was used to collect data from 453 mall shoppers using a self-administered questionnaire. Structural equation modelling was used to analyse the data. Findings: Retailer promotions were categorised under discounts, promotional offers and loyalty cards. The findings suggest that cultural values of long-term orientation and masculinity have an impact on consumers’ perceptions towards discounts, promotional offers and loyalty programmes. Different promotional strategies had varied responses from consumers. Practical implications: Mall retailers can use the findings to design promotions according to the cultural values of masculinity and long-term orientation. Loyalty programmes can symbolise status and long-term relationship with retailer. Commitment towards retailers and consequently malls could be enhanced through discounts and promotional offers. Different promotional strategies can be used to target price-conscious consumers and increase footfall in the stores. The linkages between cultural dimensions and promotional techniques would be helpful in targeting different consumer groups by designing promotions which are in line with cultural values. Originality/value: The research extends the existing literature on mall retailing by analysing the importance of cultural dimensions on sales promotions strategies used by retailers in malls. The study establishes that perceptions towards retailer promotions differ across cultures. Different promotions offered by retailers generate varied response from consumers across different cultures which would influence their commitment towards malls. © 2019, Emerald Publishing Limited.

Many business domains are benefitted with the fast diffusion of Information Communication Technology (ICT) -enabled platforms in society. But, ICT-enabled services have not received similar popularity across all domains despite rapid growth in ICT-based services. In the area of property and casualty insurance, the ICT adoption rate has been slow compared to other domains. The earlier literature in the domain attributed it to the product complexity. This paper argues that the impact of ICT-enabled platforms may have different outcomes on property and casualty insurance consumption due to risk aversion. In insurance literature, risk aversion has been proxied by many factors. As per the literature, secondary education has a positive impact on PCI (Property & Casualty Insurance) consumption while tertiary education has a negative impact on PCI consumption. In the context, this current study has empirically tested the impact of ICT-enabled platforms on PCI consumption in emerging markets and developing countries. The study found that secondary education has no significant impact on adoption of ICT platforms. However, tertiary education reduces the negative impact of ICT-enabled platform whereas Uncertainty Avoidance Index (UAI) increases the magnitude of negative impact of ICT adoption on PCI consumption. © 2019 Academic Research Centre of Canada

Managing knowledge has become a critical aspect of the contemporary business landscape. In addition, business no longer has profit as the sole purpose of their existence. Therefore, there has been growing impetus for socially and environmentally conscious business actions. The present article takes a dimensional view of the process of knowledge management. The authors disaggregate the process along three dimensions- knowledge acquisition, knowledge dissemination and responsiveness to knowledge and investigate their impact on sustainable business performance. In addition, this article assesses the moderating role of empowering leadership in the relationship between knowledge management components. Among various leadership behaviors, empowering leadership has assumed critical significance owing to growing chorus on providing autonomy and empowerment to employees. This article tests the hypotheses on data collected from manufacturing firms in India. The results demonstrate a positive relationship between dimensions of knowledge management, as well as positive moderation by empowering leadership. Further, the authors discuss implications. Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

Purpose: The purpose of this paper is to provide an analytical model for low carbon supplier development. This study is focused on the level of investment and collaboration decisions pertaining to emission reduction. Design/methodology/approach: The authors’ model includes a fuzzy c-means (FCM) clustering algorithm and a fuzzy formal concept analysis. First, a set of suppliers were classified according to their carbon performances through the FCM clustering algorithm. Then, the fuzzy formal concepts were derived from a set of fuzzy formal contexts through an intersection-based method. These fuzzy formal concepts provide the relative level of investments and collaboration decisions for each identified supplier cluster. A case from the Indian renewable energy sector was used for illustration of the proposed analytical model. Findings: The proposed model and case illustration may help manufacturing firms to collaborate with their suppliers for improving their carbon performances. Research limitations/implications: The study contributes to the low carbon supply chain management literature by identifying the decision criteria of investments toward low carbon supplier development. It also provides an analytical model of collaboration for low carbon supplier development. Though the purpose of the study is to illustrate the proposed analytical model, it would have been better if the model was empirically validated. Originality/value: Though the earlier studies on green supplier development program evaluation have considered a set of criteria to decide whether or not to invest on suppliers, these are silent on the relative level of investment required for a given set of suppliers. This study aims to fulfill this gap by providing an analytical model that will help a manufacturing firm to invest and collaborate with its suppliers for improving their carbon performance. © 2018, Emerald Publishing Limited.

Mr. Pulkit Mathur, the coordinator of Mini-Marathon 2017, was preparing a budget for the event that was scheduled just 1 month down the line. He was yet to take approval of the budget from the higher authority. However, Mr. Mathur was very much confused about the variable expenses, as there was still no clarity regarding the final number of registrations. The variable expenses included spending on t-shirts, water bottles, certificates, chest cards, and refreshments. All these expenditures were directly proportional to the number of participants in the event. In the previous marathons, the organizing team had incurred a huge loss because of the overestimation and underestimation of the registrations. For solving the problem, Mr. Mathur collected the information from all vertical heads and approached Prof. Gaurav Gangwar to get an estimation of the optimal number of registrations for which the variable expenses will be minimum. This case highlights a fascinating problem of running races from the organizer's perspective. It also shows that the problem can be easily handled with the help of operations management techniques. © 2019 Cognizant, LLC.

The present work empirically assesses the effect of the rigor–relevance debate on the relevance of research in marketing across various eras. The paper also ranks different types of relevance according to the importance given by managers. Finally, the current research informs if the top marketing journals are focusing on the relevant relevance category in the modern era. Fifty-seven articles in three leading marketing journals were analyzed for the period 1936–2015. Content analysis and n-way analysis of variance were used to measure the magnitude of managerial relevance in these papers. Analytic Hierarchy Process (AHP) was used to rank the relative importance of different types of relevance. The results support that the relevance across eras changed according to the direction of the ongoing debate on rigor–relevance. Findings indicate that significant gaps exist between the relevance expected by managers and those provided by the journals. The managers prefer “forecasts,” which is instrumental relevance; however, the leading marketing journals focus majorly on conceptual relevance. Out of the eight types of managerial relevance identified, “forecasts” was ranked the highest by managers, followed by “rhetoric devices” and “uncovering causal relationships.” Further, the three leading marketing journals differentiate themselves by focusing on different types of relevance. The results and implications provided are particularly useful for academicians, editors, academic administrators. © 2019 Elsevier Ltd

This paper explores the location and relocation decision problem of temporary shelters under uncertain damage situations in humanitarian relief contexts. The article proposes a multicriteria decision support framework based on fuzzy sets, analytic hierarchy process, technique for order preference by similarity to ideal solution, and weighted goal programming to address the issue of temporary shelter planning. The paper formulates a multiobjective location–relocation model that considers multiple objectives of risk, number of sites, unmet demand, qualitative suitability of locations, unmet demand, and nature of land ownership while generating solutions under different scenarios of earthquake damage. The robustness and performance of the proposed model are illustrated using a real case study of 2015 Nepal earthquake. The framework can benefit governments and humanitarian agencies in high-seismic areas for adequate shelter planning under damage uncertainties. © 2019 John Wiley & Sons, Ltd.