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

Every year, natural disasters such as earthquakes, hurricanes, landslides, etc. kill thousands of people and destroy habitats and assets worth millions-of-dollars. Choice of temporary shelter areas and subsequent relocation of homeless people play a crucial role in post-earthquake relief operations. This paper proposes a multi-objective location-relocation model based on goal programming approach considering uncertainties of damage to infrastructure due to earthquakes. The model considers multiple objectives of risk, number of sites, unmet demand and qualitative suitability of locations and generates solutions under different scenarios of damage. A numerical illustration is also presented to demonstrate the applicability of proposed approach in solving the decision problem. Copyright © 2020 Inderscience Enterprises Ltd.

The rising electronics waste (e-waste), increased pollution, disposal issues and exploitation of natural resources have augmented ecological and resource scarcity problems. These problems can be abate by adopting reverse logistics (RL) implementation so, the environmental protection and resource recovery options such as reuse, refurbish, recycle, remanufacturing and proper disposal can be executed to deal and manage with the e-waste. The goal of this research work is to identifies, evaluate and analyze the factors for successful implementation of RL practices. Fifteen critical RL factors are recognized from pertinent literature and endorsed by industry professionals. This paper utilized Grey based Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to sort the identified factors into cause and effect clusters. Grey DEMATEL resolves the problem of data uncertainty and impreciseness involves in decision making in analyzing the factors. The results of the study found that 11 RL factors came into causal cluster as vital factors and 4 RL factors into the effect cluster as fundamental problems factors. Among causal cluster, the highest ranked four influential factors are Top management commitment (RLF1) with weightage value 0.7604, RLF2 i.e. enforced government regulations with weightage value 0.6549, RLF6 i.e. environmental/green concerns factor with weightage value 0.5678 and RLF8 i.e. Waste minimization (especially e-waste) factor with weightage value 0.5113 are respectively. Similarly, among effect cluster, the most easily influenced two factors are “Market and competition factors” (RLF15) with weightage value (? 1.1207) and “Increased e-commerce” (RLF13) with weightage value (? 1.2855) respectively. A case example of an Indian electronics firm is taken to showcase the application of the proposed model. This paper can help supply chain managers and analysts in superior understanding of critical factors and increase the chances of practicing more effective and successful RL implementation in electronics industry. At the end, few key country and industry-specific recommendations are offered to support major decision for management and policy makers to embrace and successfully accomplish the reverse supply chain practices in India. © 2020, Operational Research Society of India.

Customers prefer apps over websites for travel search and booking. However, websites offer a competitive advantage over apps in terms of branding and CRM opportunities. Therefore, to retain customers on travel websites, this research investigated the role of monetary incentives resulting from network benefits, cultural adaptation of websites by offering pilgrimage packages, website interactivity, ease of information access, trust, and customer reviews on website continuance intention. Data was collected from 356 travel website customers. The results indicate that network benefits, interactivity, pilgrimage packages act as antecedents to trust, and customer reviews moderate trust and website continuance intention relationship. © 2020, © 2020 Taylor & Francis Group, LLC.

Understanding the developmental trajectories of big data analytics in the corporate context is highly relevant for information systems research and practice. This study presents a comprehensive bibliometric analysis of applications of big data analytics in enterprises. The sample for this study contained a total of 1727 articles from the Scopus database. The sample was analyzed with techniques such as bibliographic coupling, citation analysis, co-word analysis, and co-authorship analysis. Findings from the co-citation analysis identified four major thematic areas in the extant literature. The evolution of these thematic areas was documented with dynamic co-citation analysis. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

With increasing varieties and products, management of limited shelf space becomes quite difficult for retailers. Hence, an efficient product assortment, which in turn helps to plan the organization of various products across limited shelf space, is extremely important for retailers. Products can be distinguished based on quality, price, brand, and other attributes, and decision needs to be made about an assortment of the products based on these attributes. An efficient assortment planning improves the financial performance of the retailer by increasing profits and reducing operational costs. Clustering techniques can be very effective in grouping products, stores, etc. and help managers solve the problem of assortment planning. This paper proposes data mining approaches for assortment planning for profit maximization with space, and cost constraints by mapping it into well-known knapsack problem. © 2020 Antai College of Economics and Management, Shanghai Jiao Tong University.

Benefits of recycling will be mitigated if the recycling plant location is not aligned with the sustainability principles. The present study aims to build a guiding framework for managers and policymakers in selecting a sustainable location for Waste Electrical and Electronic Equipment (WEEE) recycling plant. It uses a case study approach and a three-phase novel methodology which includes Best-Worst Method (BWM) to rank the criteria for a sustainable plant location and VIsekriterijumska optimisacija i KOmpromisno Resenje (VIKOR) to rank the recycling candidate locations present in the case. The results indicate that environmental and natural criteria like, distance from the residential areas and water bodies, and biodiversity conservation are the most significant considerations for a sustainable plant location. Policy and legal criteria like, support from local authorities and financial support, ranked as the second while, economical aspects like, proximity to the waste collection point, and slope ranked as the third best criteria for decision on a sustainable recycling plant location. The study established the consistency and robustness of the results by performing two sets of sensitivity analysis. One by changing the weight specified for the main criteria and the other, by modifying the weight specified for a specific expert. The study will facilitate WEEE recycling companies in their decision making for facility location and also, the policy makers in increasing the effectiveness of the national WEEE management policy, by providing insights on the sustainability factors for recycling plant locations around which incentives can be built and disclosure regulations be designed. © 2020 Elsevier Ltd

Building on resource-based view theory, this article investigates the impact of human resource practice flexibility (HRPF) on innovation performance with (a) the mediating role of intellectual capital (IC) and (b) moderating role of the industry type (service or manufacturing) of an organisation. We empirically examined the relations using a survey dataset of managers of 257 Indian organisations. We have used the structural equation modelling method for data analysis. Findings of the moderated mediation analysis revealed that IC mediates the relationship between HRPF and innovation performance (a) partially when the organisation operates in the service industry and (b) fully when an organisation operates in the manufacturing industry. Additionally, our study explains the underlying mechanism governing the same relationship. © 2020 Sage Publications India Pvt. Ltd.

This study investigates the impact of Information and Communications Technology (ICT) on economic growth (gross domestic product) for member countries of South Asian Association for Regional Cooperation (SAARC) using annual data for the period 1990–2014. The study has employed augmented Cobb–Douglas production function by incorporating ICT along with capital and labor. We have taken teledensity (number of fixed and mobile phones per 10,000 people) as the proxy of ICT. This study has included only four SAARC countries (Bangladesh, India, Sri Lanka, and Pakistan) due to data constraints. Our findings reveal a positive and statistically significant effect of ICT on economic growth using panel data techniques. However, the impact of ICT on economic growth is highest for India followed by Sri Lanka, Bangladesh, and Pakistan respectively. This study has crucial policy implications for SAARC countries as they have started giving due significance to the issues related to ICT these years. © 2020, © 2020 Commonwealth Secretariat.

This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically significant while incorporating both state and year effects. We also find some interesting result in the context of education and road accidents. We notice positive relationship between higher education and road accident rates across Indian states, which tells us highly educated people are more prone to road accidents as compared with less educated people. In the threshold analysis, the study discovers the positive relationship between road injury and accidents caused by people with higher education, in cases of considering road injury rate from drunken driving as the threshold variable. There appears to be a large number of behavioral issues emanating from higher education, which contributes significantly to the road accident rates in the Indian states. Hence, there is a need for policy intervention. © 2020 John Wiley & Sons, Ltd

Learning outcomes: The cases highlight the challenges in running a new start-up especially by women in a developing nation such as India in a high growth industry. The success of a business depends on employee motivation, sales, marketing, functional coordination and coordinated efforts from all the executives. Experten Office Supplies Pvt. Ltd. (EXOS) was women empowered entrepreneurial startup (printing) in Mumbai established themselves as a trustable brand among their clientele for their office stationeries need. At Initial stages, they started with a good pace and growth in revenue. Directors of EXOS, Komal and Upasana Sanjay Kumar, were facing a downturn, their declining sales and were stressed regarding the resignation of their core member Pravin. The reasons for the situation were many, including unplanned motivational factors, non-risk-taking ability, no proper sales management (organization structure), planning process issues, lack of reward system and dependency on a person, less marketing initiative. These issues must be resolved to come back in the business, increase its sales, better sales organization structure. After the case analysis, students should be able to: know the key role of marketing and sales as a management function. Develop motivation policies for the salesforce and key team members in the organization. Understand the salesforce retention strategies of the organization. Case overview/synopsis: In September 2019, directors of EXOS, Komal and Upasana Sanjay Kumar were discussing the downturn of EXOS and were stressed regarding their declining sales and profit margin. Both were disappointed at the resignation of their Business Manager. They were in worry as the new deal that they were about to get which could have made them earn, but Pravin resigned from the job in short notice. The case has short- and long-term aspects. The short-term aspect is about the decision related to EXOS’s top performer, Pravin, how to retain him, which motivational factor will help him to rethink his resignation. The long-term aspect deals with framing a motivation model that will prevent the organization from a similar situation in the future. The case outlines the human resource management issues and particularly the importance of motivation to retain the talent of a small startup firm. Directors recognize the importance of Pravin and they have a realization that the deal on which Pravin is working is critical. Under this situation, Upasana has to stop Pravin. Complexity academic level: Undergraduate, Master of Business Administration (MBA) or in the Management Development Programs. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS: 8 Marketing. © 2020, Emerald Publishing Limited.

We examine the interrelationship among foreign aid, foreign direct investment (FDI) and economic growth in South-East Asia (SEA) and South Asia (SA) during 1980–2016. The findings from alternative empirical estimations suggest that while foreign aid is negatively associated with FDI as well as growth, FDI positively influences growth. Further, governmental financial assistance to private sector for domestic investment turns out to be important in all empirical estimations insofar as positively associated with FDI flows as well as growth. We, therefore, infer that low-income SEA and SA economies should focus on channelizing governmental financial assistance to private sector for domestic investment, macroeconomic stabilization, trade openness, and efficient utilization of aid flows, in order to attract, absorb and reap the benefits of complementing FDI flows and sustaining higher economic growth. © 2020 International Management Institute, New Delhi.

Purpose: The construct of Organizational Learning has been studied through various perspectives but still there is a dearth of literature on how the organization’s outsourcing activities impact the learning process, specifically human resource outsourcing. This paper intends to link these two concepts. Design/methodology/approach: Several research articles related to Organizational learning and outsourcing have been read and reviewed. Based on the understanding from the literature the insights are summarised and discussed. Findings: This paper demonstrates linkage between organizational learning and human resource outsourcing by putting forth the impact human resource outsourcing can have on organizational learning from both positive and negative lenses. Originality/value: Not many studies have established the linkage between two important constructs- Organizational Learning and Human Resource Outsourcing. This paper intends to bridge this gap in the literature by highlighting both positive and negative aspects of HR Outsourcing on the learning capabilities of the organizations. © 2020, Emerald Publishing Limited.

Purpose: This paper aims to examine the relationships among two distinct yet interconnected forms of value orientations, namely, terminal and instrumental values, brand consciousness and behavioral intentions. This study validated the conceptual model for branded fashion apparel consumption in an emerging market, e.g. India. Design/methodology/approach: The research design followed a two-step approach to test the measurement and structural models for partial least squares structural equation modeling with SmartPLS (v.3.0) as recommended by Anderson and Gerbing (1988). Findings: The results illustrated that both the instrumental and terminal values influence brand consciousness and, consequently, brand consciousness had an impact on behavioral intentions for fashion apparel consumption. Instrumental values had a greater influence on brand consciousness and behavioral intentions than terminal values. Brand consciousness mediated the relationship between instrumental/terminal values and behavioral intentions. Research limitations/implications: This study defined two value orientations (i.e. instrumental versus terminal) using cross-sectional data from an emerging market. Future studies may examine the research findings’ generalizability using diverse data sets (longitudinal and cross-sectional) and evaluate the value orientation and customers’ favorable behavioral intentions for luxury fashion consumption. Practical implications: This study provides insights into luxury marketers and practitioners to understand the contribution of instrumental and terminal values on brand consciousness and behavioral intentions for luxury fashion apparel. The findings would assist in developing marketing strategies for an emerging market, i.e. India. Social implications: With the rapid proliferation of materialism, the Indian market has witnessed the dawn of a new era of luxury fashion acceptance. The research offers evidence that in emerging markets such as India, consumers exhibit value orientation toward luxury brands while holding a sense of fashion involvement in their consumption behavior. Originality/value: This study is a pioneering attempt to understand the relationships between the value orientation, namely, instrumental and terminal values and their underlying influence on brand consciousness and behavioral intentions toward fashion apparel. Rokeach’s (1973) two-dimensional value dichotomy was adapted to understand luxury apparel consumption in an emerging market context, specifically India. © 2020, Emerald Publishing Limited.

The nonlinear causal dimension in oil price and stock returns aspect is less explored in literature. This study provides such evidence by applying Hiemstra and Jones (1994) nonlinear Granger causality test to the VAR residuals in case of India. Our result indicates that there exists bi-directional nonlinear causality between oil price and stock returns. It implies that the lagged information of oil price and stock returns can be able to predict each other efficiently. © 2020 John Wiley & Sons, Ltd

The present study attempts to compare and contrast the organic food choice-making process among high and low-income customers based on food quality, service quality and price fairness. Data were collected through structured questionnaires and analyzed using structural equation modeling. The results indicate apparent differences in decision-making strategies of high and low-income customers. Price fairness played an essential role in reducing risk and enhancing trust among low-income customers. Therefore, perceived risk reduction strategies are more suited for low-income consumers. For high-income consumers, trust was crucial. Also, product and service quality was equally vital for both segments. Managers selling organic food to high-income customers should focus on the retailing mix elements to build trust in the retailer. However, for low-income customers, managers should justify the price premium as fair. Also, managers may try to reduce financial risk by mechanisms such as money-back guarantees or liberal return policies for low-income customers. © 2020, © 2020 Taylor & Francis.

Purpose: The study addresses four vital issues in the area of organizational learning (OL) literature. The purpose of this study is to elucidate the following: definition of OL, accepted dimensions of OL, antecedents and consequences of OL and the link between OL and performance and innovation. Design/methodology/approach: The study presents a systematic literature review and concept analysis of OL, along with a focused discussion on the association of OL with performance and innovation. Findings: After articulating multiple perspectives, OL can be defined as the process by which organizational knowledge base and insights are developed via associations between past actions, the effect of those and future operations. OL has two widely acknowledged dimensions, namely, exploratory learning and exploitative learning. Moreover, the study presented a conceptual analysis of OL along with a comprehensive framework for precursors and outcomes of OL. Originality/value: This study probes the issues and the pattern in the literature of OL domain. The presented conceptual analysis gives direction to the future endeavours of researchers in the field of OL. © 2020, Emerald Publishing Limited.

Studies on the productivity effects of infrastructure have produced ambiguous results because of potential inter-sectoral dependencies, non-stationarity and endogeneity issues in estimation. Employing estimators that address these problems, we test the effects of a composite infrastructure index on a panel of industries for four major-Asian economies. Our results indicate positive and sizable long-run effects of infrastructure on productivity for India and China, but not for Japan and S. Korea. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

In recent times, it has become common for customers to pre-pay for goods but consume them later. The pain of payment reduces over time, in a phenomenon called payment depreciation (PD). Researchers have examined this phenomenon in situations when payment precedes consumption by long periods, ranging from three weeks to several years. The present study examines the occurrence of payment depreciation when costs precede benefits by short periods, such as three days to two weeks. The three experiments establish the presence of PD in short intervals of less than two weeks. The results are robust for both inventoried and non-inventoried consumption. The results further suggest that the sunk cost of a payment devalues discretely and not continuously. The value of the sunk cost in the consumer's mental account drops significantly after two weeks, as compared to one week. The results fail to demonstrate the effect of payment mode on the payment depreciation phenomenon. Implications indicate that retailers can vary their order delivery period to reduce product returns. © 2019

The exponential growth in online fashion retailing in India has brought several structural changes. Changing consumer needs and value propositions have made it imperative for online retailers to identify factors that are critical for its growth. The current study attempts to identify factors that influence consumers’ preference for online fashion retailers (OFR). The factors were identified and their weights were evaluated using the AHP methodology. Furthermore, the potential alternatives were ranked using VIKOR technique in R. Initially, 40 factors were identified, spread across 7 categories and in line with earlier research on online retail and views of retail experts from Indian online fashion retail sector. The analysis revealed that the category ‘webstore-image’ is most preferred and that the factors ‘online shop recognition’, ‘price’ and ‘reputation of stores’ were of importance. The study identified new factors that are important for the success and growth of online fashion retailing that are specific to India. © 2019 Elsevier B.V.