In this paper, an evolutionary game was developed and used to simulate interactions among the key stakeholders associated with the monitoring and control of environmental impact of the projects. The system dynamics simulation of the evolutionary game indicated problems in sustaining desired behaviour from the concerned stakeholders. Based on the observations from the simulation of the evolutionary game, a penalty–reward system was proposed to deal with these problems and to ensure that execution of projects is pro-environmental with minimum monitoring from the senior management. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

The popularity of remanufacturing among the research community resulted in an increase in the number of academic publications in recent years. Quite a number of literature reviews related to reverse logistics, core acquisition management, Design for Remanufacturing (DfRem), production planning, analytical models in remanufacturing were published in various journals. The management of remanufactured products is quite complex due to specific operations like core acquisition, reverse logistics, disassembly, cleaning, repairing and reassembly. This often makes determining the price of remanufactured product a difficult task. Moreover, pricing of remanufactured products acts as a control mechanism to maintain the demand for both new and remanufactured products. A significant number of academic publications have been published regarding pricing and competition decision in remanufacturing. This paper aims to study with a focus on pricing related decisions in remanufacturing through bibliometric analysis that can provide insights into the latest research trends in this area by analysing the most significant and cited papers, authors collaboration network, keywords, countries, and institutions. In this paper, a thorough review and bibliometric analysis are conducted over 336 articles from 2000 until May 2020. The systematic mapping and analysis help to identify developing research areas, key research topics, publication evolution over time, collaboration patterns among authors, countries, the co-occurrence of authors keywords, and future research directions. From the content analysis, we have identified five pricing models such as pricing of remanufactured products under competition, impact of the product lifecycle on remanufacturing pricing, pricing related to product design in remanufacturing, pricing models under an uncertain environment, and optimal pricing under customer willingness-to-pay. We have also identified the decision variables, assumptions, and research objective(s) for each model. The findings of this research provide a direction for a further study in this domain, such as how pricing of a remanufactured products can be done in oligopolistic competition, how an effective product design strategy determines the price of remanufactured product, how the government regulatory policies influence the profitability in remanufacturing, or what is the effect of carbon cap and trade mechanism on the price of remanufactured products. © 2021 Elsevier Ltd

Lean, Six Sigma and Lean Six Sigma (LSS) are the quality improvement (QI) methodologies that have proved their merits in healthcare organisations since the 1990s. The aim of this paper is to present a systematic review of literature on the implementation of these QI methodologies in paediatrics by using a three-phase systematic review process (SRP), i.e., planning, conducting and reporting. The literature search was carried out in Web of Science, Scopus, and PubMed for articles published until April 2019. The broad range of outcomes from SRP was collated into six common themes: time optimisation, motion reduction, error mitigation, dosage optimisation, efficiency enhancement, and revenue generation. It is suggested that researchers and practitioners in paediatrics need to understand these QI methodologies deeply and deploy these in a profound way to realise their true potential. This is the first systematic review to synthesise the implementation results of QI methodologies in paediatrics. Copyright © 2021 Inderscience Enterprises Ltd.

There is shortcoming in studying tourist destination loyalty without considering the types of tourists and heritage destinations simultaneously. Hence the present study intends to understand the type of positioning to be employed across hedonic vs utilitarian destinations so that overall destination loyalty can be enhanced. To attain the above objective data was collected from 836 tourists across two UNESCO world heritage sites. Survey data was collected and was analyzed using quantitative technique like SEM and CFA. The findings suggest that, (i) heritage destination perceived as hedonic (or utilitarian) still has the potential to offer utilitarian (or hedonic) benefits. Perception of destination image in case of familiar destination can change through positioning. However, utilitarian positioning of any destination type fails to leverage the overall image, emotional bonding and loyalty. The present study is one of its kind to explore how positioning can change brand image and improve destination loyalty. Practical implications are provided for Heritage destination marketer and managements for managing and positioning of the heritage sites. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

This study aims to understand the antecedents and consequences of consumer skepticism with respect to cause-related marketing (CRM). The study examines the mediating and moderating impact of attitude toward brand image and gender on the consequences of consumer skepticism. The study findings confirm the mediation and moderation effects of attitude toward brand image and gender and the relationship between skepticism and patronage intention. No empirical evidence was found for the relationship between the strategic motive to reduce consumer skepticism and CRM. The findings are relevant for both academicians and marketers. Academicians will be enriched by the knowledge of the antecedents, moderated and mediated variables, and their differential impact on consumer skepticism about CRM. The present study significantly contributes by examining numerous psychographic variables impacting consumer skepticism, thus developing an integrated model to understand how consumer skepticism impacts patronage intention. To the best of our knowledge, no such study has been conducted in the Indian context. © 2019 Informa UK Limited, trading as Taylor & Francis Group.

This paper aims to present an innovative approach to design a Lean Service System in the India Post service industry using the Simulation method to reduce the system’s complexity. Using logic and systematic building blocks, simulation models have been developed from lean service elements using the arena software and verified in Siemens Tecnomatix plant simulation suite. Simulation is used to replicate the real model, guide the future production system, and determine the optimal parameter values. Simulation studies have been divided into two perspectives, “before LS” and “after LS” through Value Stream Mapping (VSM). It has been found that there is a 9.62 percent enhancement in delivering articles per person. A real case of postal service internal operational performance has been taken for the study. This study is the first to combine Value Stream Mapping - Simulation (VSM-Sim) to simulate and optimize the mailing service operations’ operational performance parameters. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Data are being continuously generated from various operational steps in the oil and gas industry. The recordings of these data and their proper utilization have become a major concern for the oil and gas industry. Decision making based on predictive as well as inferential data analytics helps in making accurate decisions within a short period of time. In spite of many challenges, the use of data analytics for decision making is increasing on a large-scale in the oil and gas industry. An appreciable amount of development has been done in the above area of research. Many complex problems may now be easily solved using Artificial Intelligence (AI) and Machine Learning (ML) techniques. Historical, as well as real-time data, can be assimilated to achieve higher production by gathering data from the gas/oil wells. Various analytical modeling techniques are now widely being used by the oil and gas sector to make a decision based on data analytics. This paper reviews the recent developments via applications of AI and ML techniques for efficient exploitation of the data obtained, starting from the exploration for crude oil to the distribution of its end products. A brief account of the acceptance and future of these techniques in the oil and gas industry is also discussed. Present work may provide a technical framework for choosing relevant technologies for effectively gaining the information from the large volume of data generated by the oil and gas industry. © 2020, Springer Nature B.V.

Purpose: The purpose of this paper is to test relevance of the information quality (IQ) framework in understanding quality of advertisements (ads) posted by ordinary consumers. Design/methodology/approach: The main objective of this study is to assess quality ads posted on customer-to-customer (C2C) social commerce platforms from an IQ framework. The authors deployed innovative text mining techniques to generate features from the IQ framework and then used a machine learning (ML) algorithm to classify ads into three categories ? high quality, medium quality and low quality. Findings: The results show that not all dimensions of IQ framework are important to assess quality of ads posted on the platforms. Potential buyers on these platforms look for appropriate amount of information, which is objective, concise and complete, to make a potential purchase decision. Research limitations/implications: As the research focuses on specific product categories, it lacks generalisability. Therefore, it needs to be tested for other product categories. Practical implications: The paper includes recommendation for C2C marketplaces on how to increase quality of ads posted by consumers on the platform. Originality/value: This study has focused on the user-generated content posted by ordinary consumers on the C2C commerce platform to sell used goods. Though C2C model has been developed on ads posted on C2C platforms, it can be established for brands as it provides them with an insight into latent dimensions that a consumer shall look for in an ad on social commerce platforms. © 2020, Emerald Publishing Limited.

Participative pricing demonstrates the basic idea of allowing customer participation in price-setting process. Nottingham Playhouse, IBIS Singapore, Metropolitan Museum of Art, Wiener Deewan, Girl Talk, 8k, Zest consulting, Radiohead band and many more have successfully implemented pay-what-you-want (PWYW), the most innovative form of participative pricing. Based on the degree of participation, PWYW is the highest form that allows buyers to select any price they want to pay for a product/service, including zero. The present study examines how customers lower their motivation to pay more for products offered under PWYW by morally disengaging themselves from reciprocity concerns. It focuses on one mechanism of moral disengagement—displacement of responsibility and tests the proposed hypotheses in PWYW context. 284 responses were gathered using structured questionnaires at a reputed public university. Data were analysed using partial least-squares structural equation modelling. Findings indicate that customers’ moral disengagement via displacement of responsibility towards reciprocity concerns is negatively associated with willingness-to-pay more (WTPM). Results corroborate the attenuating role of perceived control on the negative association between displacement of responsibility towards reciprocity concerns and WTPM. However, relaxation from monetary commitments does not have a significant moderating effect on the negative relationship between moral disengagement and WTPM. This study is possibly the first to empirically investigate the interplay among individuals’ cognitive mechanisms, moral disengagement from reciprocity concerns and socio-demographic variables under participative pricing. Findings empirically substantiate the theory of moral disengagement, moral self-regulation and social cognitive theory. Practitioners should actively engage customers’ moral self-regulation process and provide more sense of perceived control while designing participative pricing offerings. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.

Each year, millions of tons of electronic waste (or e-waste) are generated worldwide, thus, fueling concerns among scholars, practitioners, policymakers, and governments about e-waste recycling and management. The past few years have witnessed a growing interest among scholars to examine the behavioral issues concerning e-waste recycling. However, most of the existing studies have focused on adopting e-waste recycling and related innovations. It is already known that ‘reasons for’ and ‘reasons against’ the adoption of any innovation are quantitatively different. The current study bridges this gap by utilizing a novel consumer behavior framework called behavioral reasoning theory (BRT) to study e-waste recycling attitudes and intentions. The study examined the relative influence of ‘reasons for’ and ‘reasons against’ in predicting attitude and intentions within the context of e-waste recycling by using a single framework. The developed model was tested using structural equation modeling with 774 Japanese consumers. The study also examined the moderating role of environmental assessment and environmental concerns in influencing the studied associations. The results suggest that ‘reasons for’ was positively associated with attitude and intentions. The consumer values shared negative associations only with ‘reasons against.’ The study findings offer interesting insights for service providers, policymakers, and governments. © 2020 The Author(s)

The study investigates the existence of beta-anomaly in the Indian equity market. A growing body of literature shows that financial markets do not reward the risk (defined in terms of standard deviation or market beta). These results (known as ‘low-risk anomaly’ and ‘low-beta-anomaly’) are quite puzzling from the theoretical perspective. This study presents an empirical test of the capital asset pricing model (CAPM) in the Indian equity market to examine the existence of low risk/low beta anomaly. The study covers 650 actively traded stocks for a period of 189 months from July 2002 to March 2018, and the Fama–MacBeth procedure has been used for testing CAPM. The beta-shorted portfolios are formulated using both equal and value-weights. The results of the study were found robust after controlling for outliers and correcting the bias in standard errors, as suggested by Petersen (in Rev Financ Stud 22(1):435–480, 2009). We confirm the presence of ‘low-beta-anomaly’ in India. A non-linear relationship was found between CAPM beta and expected returns. This relationship follows a quadratic function, where expected returns initially increase with beta and then start declining, resulting in the negative risk premium for high-beta portfolios. © 2020, Springer Japan KK, part of Springer Nature.

Big data analytics capability (BDAC) is a firm's ability to leverage big data for business value generation. Firms focus either on ‘functional fitness’ by ‘doing the things right’, or ‘evolutionary fitness’ by ‘doing the right things. Extant literature shows inconsistency in BDAC dimensions and lacks an integrative framework that addresses both functional and evolutionary fitness. We address this through a tool-based qualitative analysis of BDAC literature and present a capability-centric fitness framework. In doing so, we examine the critical role of enterprise architecture and suggest TOGAF based mechanisms to address alignment issues between BDAC’s functional and evolutionary fitness dimensions. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

[No abstract available]

Donor behavior and the act of charity have attracted evident attention globally in recent years primarily because of squeezed government funding to charities and Nonprofit Organizations (NPOs) post 2008 financial meltdown. This paper reviewed 148 articles on charity donor behavior and giving behavior, and provides a coherent and contemporary view with a classification scheme having various categories based on different attributes. The purpose of this study is twofold. First, it covers a systematic literature review (SLR) of charity donor behavior and its drivers. Second, it identifies the gaps in the current body of knowledge and highlights the future research direction. Using SLR Method, the present research identifies, meticulously evaluates, critically analyzes, and synthesizes findings of the relevant studies published in international journals in the fields of consumer behavior, information technology, services marketing, psychology, economics, and marketing management from 1980 onwards. Subsequently, various emerging themes in the area of Donor Behavior are identified based on gaps to facilitate the researchers and practitioners for their future research efforts. © 2021 Taylor & Francis.

Purpose: Supply chain traceability and supply chain visibility have become a critical element for the effective management of contemporary complex supply chains. At their core is information sharing, which has been acknowledged as a key prerequisite for logistics and supply chain performance, but whose notional underpinnings have not been delineated fully, leading to interchangeable deployment of these terms. Addressing the shortcoming, this paper aims to establish a contrast between the two notions. Design/methodology/approach: Drawing from systematic review protocols, a multi-disciplinary review scope is constructed wherein the synthesis is strategized to primarily channel implications for the scholarship of logistics and supply chain management. The review is aimed at addressing two research objectives: (1) how the notions of traceability and visibility in supply chain management develop contrast in terms of their thematic emphasis and (2) to attain an integrative understanding of the notional convergence and divergence between supply chain traceability and visibility for raising strategic recommendations. Findings: The review outcomes help contrast both the convergence and the divergence between traceability and visibility in the supply chain environment, and the differentiated but fundamental role that information sharing plays within these notions to outline why they are not interchangeable. Originality/value: The originality of the findings lies in the conceptual synthesis of the relevant literature from both technological and non-technological perspectives to ultimately draw logistics and supply chain management implications. The review also points out key strategic considerations to demarcate the notional boundaries of traceability and visibility in future research. © 2021, Emerald Publishing Limited.

This primary objective of the present work is to understand the relationship between Skepticism and Patronage Intention, and to check the mediating and moderating impact of Satisfaction and Religiosity on the same, with focus on Cause-Related Marketing (CRM). In the present study, SPSS 21 and AMOS were used to analyse the quantitative data and test moderation and mediation effect. The findings of the study confirm the mediation and moderation effect of Satisfaction and Religiosity on Skepticism?Patronage Intention. The findings of the study would help academicians and marketers. Academicians will be enriched by the knowledge of the antecedents and moderated and mediated variables and their differential impacts on Skepticism, drawing from the Attribution Theory. The Company and Policy Maker will be benefitted by the knowledge of factors that can lower Skepticism and enhance Satisfaction hence they are recommended to consider them before devising a suitable CRM activity. To the best of our knowledge, no such studies were being made in the Indian context and the study makes original contribution to the existing literature. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Purpose: The purpose ofthis study is to synthesise the findings of existing research on brand-related user-generated content (UGC) in the context of fashion retail and to come up with future research directions. Design/methodology/approach: A systematic literature review of 33 research papers, selected using well-defined criteria, was done. Further, the thematic analysis identified underlying themes and their inter-linkages. Findings: The inter-linkages of 12 emergent themes were showcased in the form of a causal-chain conceptual framework, highlighting antecedents, mediators, moderators and consequences. Research limitations/implications: Future research involves six directions, and researchers should empirically test out the proposed conceptual framework and take the given research directions forward. Practical implications: Retailers should understand UGC motivators to launch targeted campaigns to amplify UGC with firm-generated content and increase overall engagement and sales of a brand. Originality/value: First, this study fills the gap of missing synthesis of existing studies on UGC about fashion retail by analysing the publication distribution, paper types, data collection tools and techniques and data analysis methods. Second, the authors have proposed a causal-chain conceptual framework based upon thematic analysis of the research literature. The emergent themes touch upon three crucial aspects of marketing on enabling technology, consumer behaviour and marketing tactics. Finally, the academic contribution of this study lies in coming up with six vital research agenda for future research. © 2020, Emerald Publishing Limited.

Overview: When designed and driven efficiently, crowdsourcing can leverage the power of collective intelligence and yield innovative solutions. To date, the crowdsourcing literature has focused on exemplary corporate initiatives and less on crowdsourcing contests in public service organizations (PSOs), which have a diverse ecosystem. Existing literature has only sparsely studied the design aspect of crowdsourcing as a process. We explored crowdsourcing contests hosted by two large PSOs, Deutsche Bahn and Indian Railways, from a process perspective. We created a six-stage framework for crowdsourcing contests that other PSOs can use. We highlight the need for effective internal and external marketing to enhance the effectiveness of crowdsourcing in PSOs. With structured efforts, crowdsourcing contests can help PSOs cocreate impactful solutions by seamlessly blending internal and external knowledge and efforts. © Copyright © 2021, Innovation Research Interchange.

This study investigates the role of authenticity, self-congruity and emotional attachment in generating positive Word of Mouth (WOM) intentions in heritage tourism. The 13th-century Sun Temple of Konark (Surya Mandira), in Odisha, India, a United Nations Educational, Scientific and Cultural Organization (UNESCO)-listed World Cultural Heritage Centre was selected as the destination for the study. A survey of residents (n = 627) and tourists (n = 473) was conducted. Statistical analyses indicate that residents and tourists are found to be different from each other in terms of their emotional attachment, existential authenticity, self-congruity, and WOM intentions. This study is one of a few that focused simultaneously on both residents and tourists, even though most of the earlier works neglected the residents’ perspective as they investigated the relationship marketing and customer-based model of authenticity. © 2020 Elsevier Ltd

We consider a two-stage parallel-series system having three sub-systems. The independent two sub-systems of the first stage are linked in parallel and then linked to the third sub-system of the second stage in series. The deterministic two-stage parallel-series system approach is extended to uncertain/imprecise environment where the data are represented as fuzzy numbers. Using the Zadeh extension principle, we develop a fuzzy two-stage parallel-series system to determine the lower and upper bound fuzzy efficiencies of the decision-making units with the help of ?- cut and rank the DMUs using the ranking index approach. The proposed methodology is illustrated using the case of Taiwan’s non-life insurance companies. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.