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This article aims to advance a new theoretical perspective on the basis of prosumption theory, namely, that online review platforms can be conceptualized as prosumer communities (and online reviews as prosumer-generated content). This perspective meshes with message tuning research to suggest specific mechanisms through which peer-to-peer prosumption takes place in online review communities. Overall, this article enriches and deepens theoretical understanding of prosumption behavior in the product review context and offers practical advice for inducing high-value, prosumer-generated content in online communities.

Exploratory observations of current practices across a wide spectrum of review platforms were conducted. The observed platforms include independent review sites (e.g. Yelp) and review sites affiliated with e-tailers (e.g. Amazon), general review sites (e.g. Viewpoints) and product-specific review sites (e.g. Healthgrades), large-scale review sites (e.g. TripAdvisor) and review sites of a smaller scale (e.g. Judy’s Book) and review sites based in different geographic regions, including Australia (e.g. Productreview.com.au), China (e.g. Taobao), Europe (e.g. Reevoo), India (e.g. Zomato) and North America (e.g. Foursquare).

Theoretical analysis suggests that high-quality review content is the result of collaborative prosumption characterized by three distinct value-adding processes: history-based message tuning, audience-based message tuning and norm-based message tuning. In-depth observations reveal that today’s review platforms are leveraging these value-adding processes to varying degrees. The overwhelming diversity of the observed platform features points to the need for more research on platform design and management.

This research identifies three distinct dimensions of review quality – novelty, relevancy and congruency – that can be systematically managed through platform design. The exploratory nature of this research necessitates follow-up work to further investigate how high-quality review content emerges in the historical, interpersonal and cultural contexts of online prosumer communities.

The prosumption-inducing mechanisms identified in this research have major consumer welfare and strategy implications. First, they may lead to novel, relevant and congruent consumer reviews. Second, they may enhance the value of brand communities (which rely heavily on collaborative prosumption).

This research addresses two intriguing questions pertinent to marketing theory and practice in the digital era. First, how do high-quality reviews emerge on product review platforms (which consist of ordinary consumers)? Second, what constitutes high-quality review content and how can platform managers facilitate the collaborative creation of high-quality review content by ordinary consumers?

This paper aims to examine how regulatory legitimacy and moral legitimacy influence biased performance evaluations on female chief executive officers’ (CEOs) dismissal.

The final sample contains 10,780 firm-year observations from 2004 to 2013.

This paper finds that the negative relationship between firm performance and CEO dismissal is weakened when the firm has a female CEO. In addition, the regulatory legitimacy pressure and moral legitimacy pressure can disrupt the biased performance evaluations in the board.

This study enriches female leadership literature regarding gender stereotype issues by incorporating institutional approach and organizational legitimacy literature. By focusing on regulatory legitimacy and moral legitimacy, this work also helps to further understand gender-related organizational behaviors and outcomes.

Grounded in uses and gratification theory (UGT) and observational learning theory (OLT), this study aims to understand the impact of motivational factors on consumer-influencer engagement behaviors (CIEBs). Motivating factors, including entertainment, information seeking, reward and social interaction, are regarded as antecedents of consumers' OLT, as manifested by CIEB dimensions, including consumption, contribution and creation, and subsequently drive consumer engagement with the endorsed brands.

A self-administered questionnaire was distributed to Malaysian social media users. A total of 263 responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the impact of motivational factors on CIEBs.

The results show that the three dimensions of CIEBs can be predicted by different gratifications (information seeking, entertainment, reward and interaction). In addition, two of the CIEB dimensions, consumption and contribution, were found to have a significant positive influence on consumers' engagement with endorsed brands.

This study provides insights into how social media influencers (SMIs) could lead to CIEBs by creating entertaining and rewarding content that facilitates social interaction between consumers. SMIs and marketers that encourage consumers to browse, comment and share SMI-created posts will enhance consumer engagement with the endorsed brands, as engagement is driven by the consumption and contribution to SMI-created content.

SMI marketing is increasing, and many brands are beginning to rely more on SMIs to promote brands. Yet, there is a dearth of studies that have examined how SMIs play a role in affecting consumers' engagement with endorsed brands. This study contributes to the marketing literature by developing and empirically testing the research model. Results suggest that social interaction, reward and entertainment are key motivational factors that drive CIEBs, which, in turn, foster consumer engagement with endorsed brands.

This study has two major objectives. First, comprehensively review the literature on transparency in supply chain management. Second, based on a critical analysis of literature, identify the attributes and sub-attributes of supply chain transparency and develop a numerical measure to quantify transparency in supply chains.

A systematic literature review (SLR) was conducted using the PRISMA approach. Utilizing SCOPUS database past eighteen-year papers search resulted in 249 papers to understand major developments in the domain of supply chain transparency. Subsequently, graph theoretic approach is applied to quantify transparency in supply chain and the proposed index is evaluated for case supply chains from pharma and dairy sectors.

It can be concluded from SLR that supply chain transparency research has evolved from merely tracking and tracing of the product towards sustainable development of the whole value chain. The research identifies four major attributes and their sub-attributes that influence transparency in supply chains, which are used to develop transparency index. The proposed index for two sectors helps to understand areas that need immediate attention to improve transparency in the case supply chains.

This paper attempts to understand the development of transparency research in supply chain using the PRISMA approach for SLR. In addition, development of mathematical model to quantify supply chain transparency is a novel attempt that would help benchmark best practices in the industry. Further, transparency index would help to understand specific areas that need attention to improve transparency in supply chains.

This systematic literature review analyses the determinants and consequences of executive compensation-related shareholder activism and say-on-pay (SOP) votes. The review covers 71 empirical articles published between January 1995 and September 2017. The studies are reviewed within an empirical research framework that separates the reasons for shareholder activism and SOP voting dissent as input factor on the one hand and the consequences of shareholder pressure as output factor on the other. This procedure identifies the five most important groups of factors in the literature: the level and structure of executive compensation, firm characteristics, corporate governance mechanisms, shareholder structure and stakeholders. Of these, executive compensation and firm characteristics are the most frequently examined. Further examination reveals that the key assumptions of neoclassical principal agent theory for both managers and shareholders are not always consistent with recent empirical evidence. First, behavioral aspects (such as the perception of fairness) influence compensation activism and SOP votes. Second, non-financial interests significantly moderate shareholder activism. Insofar, we recommend integrating behavioral and non-financial aspects into the existing research. The implications are analyzed, and new directions for further research are discussed by proposing 19 different research questions.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Due to its high leverage nature, a bank suffers vitally from the credit risk it inherently bears. As a result, managing credit is the ultimate responsibility of a bank. In this chapter, we examine how efficiently banks manage their credit risk via a powerful tool used widely in the decision/management science area called data envelopment analysis (DEA). Among various existing versions, our DEA is a two-stage, dynamic model that captures how each bank performs relative to its peer banks in terms of value creation and credit risk control. Using data from the largest 22 banks in the United States over the period of 1996 till 2013, we have identified leading banks such as First Bank systems and Bank of New York Mellon before and after mergers and acquisitions, respectively. With the goal of preventing financial crises such as the one that occurred in 2008, a conceptual model of credit risk reduction and management (CRR&M) is proposed in the final section of this study. Discussions on strategy formulations at both the individual bank level and the national level are provided. With the help of our two-stage DEA-based decision support systems and CRR&M-driven strategies, policy/decision-makers in a banking sector can identify improvement opportunities regarding value creation and risk mitigation. The effective tool and procedures presented in this work will help banks worldwide manage the unknown and become more resilient to potential credit crises in the 21st century.

In recent years, we have witnessed a surge in academic interest towards migrants and their entrepreneurial endeavours. This has resulted in valuable insights about immigrant, transnational, ethnic and diaspora entrepreneurship. By reviewing 158 articles published in the fields of migrant entrepreneurship, transnational entrepreneurship, ethnic and diaspora entrepreneurship over the last decade, the author maps the migrant entrepreneurship field according to the level of analysis and suggests potential avenues for the development of the field. Blurred boundaries between different streams of literature can potentially lead to duplication of efforts and harm cumulativity of knowledge. Therefore, the author summarises the key findings at each level of analysis, identifies the gaps and most pressing research questions. The author concluded that the field would benefit from (1) more specific definitions and assessment of whether observed findings stem from immigrant-, transnational-, ethnic- or diaspora-related factors; (2) appreciating the multilevel nature of the phenomenon; and (3) clarifying the boundary conditions. This review contributes to the accumulation of knowledge in two ways. First, it synthesises the findings in the fields of transnational, immigrant, ethnic and diaspora entrepreneurship under the framework of migrant entrepreneurship. Second, it suggests potential research directions across three levels of analysis and in-between those levels.