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Given the prevalence of family-run businesses in India, this paper aims to empirically investigate the impact of family firms on the relationship between firm performance and board characteristics. The effectiveness of board characteristics such as independent directors, chairman independence, role duality, non-executive directors, board busyness, board size, board meetings and board attendance are studied in the Indian context.

The sample consists of top-listed firms in India for the period 2002 to 2012. Board index was constructed to capture the governance quality of the firm. The authors also study the relationship between board structure and firm performance by segregating the sample based on family management, family ownership and family representative directors. Random effects model was used for the regression analysis in the study.

The authors find a negative effect of board structure on firm performance in family firms compared to non-family firms. Contrary to the most Western literature, family management was not found to significantly affect firm performance as compared to that of professionally managed firms. In the subset analysis of family firms, higher proportion of family ownership and family representative directors did not show any significant impact on the firm performance. Having a higher proportion of independent directors, larger board size or an independent chairman does not appear to improve this insignificant relationship between family firms and firm performance. Also, in family firms, no significant difference in performance is noticed before and during recession period.

The study uses a self-defined corporate governance index to measure the governance parameters, specifically the board characteristics. The results documented in this study adds to the debate on the generalizability of the findings in Western governance studies in emerging markets like India with unique institutional development background.

Collectively knowledge is mentioned to surpass the traditional assets such as workers, property and financial investment. The research studies on how the existing knowledge can be merged with new knowledge for further development of organizational progress is moving from nascent to active state. In this context, the applications of online data pose a research gap in the domain of hospital review ratings. The purpose of this study is to explore how this raw tacit knowledge can be transformed to explicit keywords associated with individual review ratings of the hospital.

The authors have attempted to decrypt the tacit knowledge extracted from Facebook page of nine Indian hospitals (sources for the nine hospitals) using NVivo 12.3 to explain the resources associated with the poor or good review ratings.

Distinct patterns emerged with review ratings and associated words, which can be used to improve the facets of health-care services.

The data used are only from India catering to national and international patients.

The sentiment analysis and word cloud associated with individual review rating can be further used for devising finer branding scales, as well as be practically used for real-time branding efforts by health-care industry.

This paper aims to review the literature on “E-fulfillment” with respect to marketing and operations issues in the current dynamic and complex e-tailing environment and thereby generate significant insights.

This paper is based on a systematic literature review on e-fulfillment focusing on marketing and operations issues therein. This systematic literature review consists of a critical review on e-fulfillment under planning (review question initialisation), searching (literature search), screening (literature evaluation), extraction and synthesis and reporting phases to conceptualise e-fulfillment. A total of 122 research articles have been reviewed to explore e-fulfillment and to develop key constructs and propositions.

This review provides the following three outcomes. First, the varied-fulfillment definitions have been critically reviewed, leading to synthesis, and thereby, an e-fulfillment definition is provided. Further, the variations for e-fulfillment across product types, which have been identified as a key variable for e-fulfillment, have been explored. Second, authors find five e-fulfillment components at the marketing and operations interface: website quality, customisation strategy, distribution strategy, last mile delivery and return management. Continuing with the e-fulfillment interface with marketing, the linkages between e-fulfillment and select post-purchase consumer behaviours measures across different product types have been reviewed. The paper thus with a focus on synthesising e-fulfillment literature from a process perspective emphasises the consumer behaviour metric for measuring e-fulfillment performance.

This study would help academicians, researchers, e-tailers and practitioners to understand e-fulfillment from a process perspective. For the researcher, it presents areas for future research by giving possible research directions in this emerging area. This study also brings out the impact of e-fulfillment according to product type on the post-purchase consumer behaviour measures, which will help e-tailers to link e-fulfillment to consumer behaviour metrics.

The paper classifies the fragmented literature to develop constructs and propositions for e-fulfillment. This is the first kind of study on e-fulfillment process and its impact on select post-purchase consumer behaviour measures across product types.

There is limited literature linking e-fulfillment and product type with postpurchase consumer behavior measures like loyalty, even though there has been a rapid increase in e-tailing. E-fulfillment is defined in literature as a sequence of processes. Each process in this sequence is expected to have a different impact on consumer loyalty across product type. Thus relative importance of e-fulfillment processes leading to consumer loyalty. The purpose of this study is to investigate the impact of e-fulfillment on consumer loyalty across two product types: “standard, regular” and “physical product” (e.g. book, clothing, etc.) and “standard, nonregular” and “physical product” (e.g. computer, refrigerator, etc.) using the peak-end rule theory for an e-tailer.

To know the consumer loyalty for e-fulfillment across the two product types, the partial least square-structural equation modeling approach aided by the SmartPLS 3 tool was used for data analysis as it avoids biases in the parameter estimation in regression analysis. A total of 603 consumer responses through an online and physically administered questionnaire were obtained and were used for the empirical analysis.

Results indicate that for standard, nonregular and physical products, all the e-fulfillment components (customization strategy, website quality, distribution strategy, last mile delivery and return management) positively impact consumer loyalty. Except for the customization strategy, for standard regular and physical product types, all other e-fulfillment components positively impact consumer loyalty.

This study will be helpful to e-tail managers to configure the e-fulfillment components according to product types, thereby increasing consumer loyalty.

While some e-fulfillment components have been linked to consumer loyalty in literature, there is no study establishing linkages between e-fulfillment as a construct and consumer loyalty across product types. This has implications for decision makers in e-tail as the study provides e-fulfillment strategy customization across product types for achieving consumer loyalty in e-tail, a key marketing metric.

The purpose of this paper is to apply a multi-criteria decision-making (MCDM) framework to evaluate distribution strategies for an e-tailer. An application of MCDM method, the hybrid DANP–VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) model, is used for e-tailers’ distribution strategy evaluation. The choice of distribution strategies under various dimensions is evaluated.

The authors used a hybrid MCDM model to solve the decision-making framework, which combines Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based analytic network process and VIKOR method. Data were collected from the experts (e-tail manager, logistics manager, operations manager and distribution center (DC) manager) using two questionnaires, first for the influential relationship among the criteria and dimensions and second for a performance rating of each alternative (distribution strategies) against each criterion.

DANP with VIKOR method prioritizes the distribution strategies in the following order: DC shipment, drop shipment, click and collect, store shipment and click and reserve. Performance gap was calculated based on the VIKOR method to provide distribution strategies to an e-tailer under different situations. The authors infer that in developing country, product characteristics and transportation have a major influence on deciding the distribution strategy.

Decision-making framework will provide e-tail mangers a knowledge-based understanding to select the distribution strategy under the different situations related to the performance, product, e-tailer and external characteristics for smooth order fulfillment process. The insights developed by this research provide a framework for rational decision making in distribution strategy selection in e-business.

This is the first kind of a study which offers a decision framework for e-tail managers on how to choose distribution strategies under different situations which are related to the performance, product, e-tailer and external characteristics.

This research theoretically proposed and empirically validated a Customer-Based Brand Equity (CBBE) scale specifically for Medical Tourism for emerging economies including recent findings from tourism theories such as gravity model and signalling theory, but more specifically accommodating political, cultural, economic, legal and social influences.

In-depth literature reviews from tourism, medical tourism, healthcare and hospitality domains are used to propose the theoretical model. The authors have used the lavaan package in R for the empirical analysis and model verification.

The research included, tested and verified the established latent variables such as “brand awareness”, “brand association”, “perceived quality” and “loyalty”, along with new observed variables for the CBBE scale from the theoretical perspectives of this research. “Infrastructure” has emerged as a new scale construct and “culture” was found to be a moderating variable for “perceived quality” in the CBBE scale, which are novel additions to the literature.

The research contributed to scale refining, latent construct assessment, and fine-tuning of the observed variables for the mentioned theoretical gaps.

The medical tourism market across the globe lacks a consolidated, standard customer-based brand equity (CBBE) scale till the present day. The purpose of this research is to theorize a scale with probable existing dimensions and based on prior literature adding culture and infrastructure/superstructure as new components for global comparison among BRICS and SAARC nations. This empirical research initiates laying the foundation of deriving a unified scale.

Extensive literature reviews from leading academic journals, books and web information were used to theoretically propose the scale. R (an open source coding language) was used for quantitative analysis.

Culture (environment index) and infrastructure/superstructure (industry/economic index) were found to be relevant in the context of CBBE scale for medical tourism. The other dimensions are brand awareness, brand association, perceived quality and loyalty.

The research literature was fragmented because of international scopes of medical tourism destinations as well as a variety of medical services offered. The dynamic nature of this industry, which is dependent on several factors such as healthcare, cost, related services, tourism etc. made it difficult to access the real contribution of individual items.

This paper proposes the foundation to develop a CBBE scale for medical tourism in India, adding culture and infrastructure/superstructure as new dimensions. It opens doors for new research with scale refining, branding assessment and fine-tuning items for the new dimensions.

This research is the first of its kind to create a standard CBBE scale for developing countries. It has added a new set of literature and consolidated prior contextual works on culture and infrastructure in reference to medical tourism. The questionnaire is of practical value to hospitals. The interview transcript is novel in nature for future works.

E-fulfillment has a significant role to play within e-tailing, which provides products to a customer, comprising primarily of five components: website quality, customization strategy, distribution strategy, last mile delivery and return management. The purpose of this paper is to provide an e-fulfillment performance evaluation framework for an e-tailer, considering the different performance aspects of information systems (IS), marketing and operations for e-tailers.

Since quite a few performance aspects (i.e. IS, marketing system and operations) need to be factored in while evaluating the e-fulfillment performance, it may be considered as a complex multi-criteria decision-making problem. This study used decision-making trial and evaluation laboratory (DEMATEL) based analytic network process (DANP) to investigate the relationship between performance class and performance aspects, and calculated their weights. These designated weights of performance aspects help managers to find the important aspects needing improvement. The understanding of the interrelationship among the performance aspects enables managers to improve the efficiency of an e-tailing system.

This study provides the e-fulfillment performance evaluation framework to find the important aspects requiring improvement. The results of this study reveal that the important performance aspects of e-fulfillment performance are return policy, pickup method, innovativeness, assortment type, assortment width, trust (privacy and security) and promised delivery date.

This e-fulfillment performance evaluation could be used by an e-tailer to assess the e-fulfillment performance, and identify areas of improvement.

This study makes a contribution to the present body of knowledge by considering operations related performance aspects except the IS and marketing to evaluate the e-fulfillment performance.

In recent times, behavioural models for asset allocation have been getting more attention due to their probabilistic modelling for scenario consideration. Many investors are thinking about the trade-offs and benefits of using behavioural models over conventional mean-variance models. In this study, the authors compare asset allocations generated by the behavioural portfolio theory (BPT) developed by Shefrin and Statman (2000) against the Markowitz (1952) mean-variance theory (MVT).

The data used have been culled from BRICS countries' major index constituents from 2009 to 2019. The authors consider a single period economy and generate future probable outcomes based on historical data in order to determine BPT optimal portfolios.

This study shows that a fair number of portfolios satisfy the first entry constraint of the BPT model. BPT optimal portfolio exhibits high risk and higher returns as compared to typical Markowitz optimal portfolio.

The BRICS countries' data were used because the dynamics of the emerging markets are significantly different from the developed markets, and many investors have been considering emerging markets as their new investment avenues.

The purpose of this paper is to examine the relationship between financial performance and internal governance structure of Information Technology (IT) sector in India. Various aspects of the board such as board independence, board size, board meeting, board attendance, aspects of leadership with role duality and family ownership are addressed in this study.

The sample consists of 114 listed IT sector firms in India from 2006 to 2011. To account for endogeneity of the relationship between firm performance, corporate governance and capital structure of the firm, simultaneous system of equations was employed.

The study, after controlling for firm-specific factors, shows that larger board size had a positive impact on firm performance. Independent directors on the board did not show any association with firm performance. The study failed to find any relationship between the number of board meetings and firm performance. However, attendance of the board members was found to be positively associated with firm performance. Family firms showed better performance compared to non-family firms.

The study demonstrates that governance measures related to the board in Indian firms have some similarities to the firms in western countries. However, the study shows that some of the widely used board characteristic measures differ with other studies documented in the western contexts which limits the generalisability of the western studies in the emerging countries.