Valuing organic farm volunteer tourists in Hawai'i: farm host perspectives

This article challenges conventional understandings of the benefits of farm volunteer tourism through a qualitative study of the perceived value of organic farm volunteer tourists participating in the World-Wide Opportunities on Organic Farms (WWOOF) network from the perspective of WWOOF farm hosts in Hawai'i. Through an ethnographic examination of farm hosts' perspectives, the economic and non-economic costs and benefits of hosting farm volunteer tourists are examined. It illustrates how the off-setting of labour costs are juxtaposed against the economic cost of lost productivity and accommodation expenses. Farm hosts also report non-economic benefits, including spiritual development, interpersonal exchange relationships and shared lifestyles, while non-economic costs pertained to loss of privacy, and the need to engage in the emotional labour associated with farm hosting.     

The disruptor's dilemma: TiVo and the U.S. television ecosystem

Research summary: Firms introducing disruptive innovations into multisided ecosystems confront the disruptor's dilemma: gaining the support of the very incumbents they disrupt. Through a longitudinal study of TiVo, a company that pioneered the Digital Video Recorder, we examine how these firms may address this dilemma. Our analysis reveals how TiVo navigated coopetitive tensions by continually adjusting its strategy, its technology platform, and its relational positioning within the evolving U.S. television industry ecosystem. We theorize how (1) disruption may affect not just specific incumbents, but also the entire ecosystem; (2) coopetition is not just dyadic, but also multilateral and intertemporal, and (3) strategy is both a deliberative and emergent process involving continual adjustments, as the disruptor attempts to balance coopetitive tensions over time. Managerial summary: New entrants confront a dilemma when they introduce a disruptive innovation into an existing business ecosystem, viz., how can they gain the support of the incumbents that their innovation disrupts? Confronting this “disruptor's dilemma”, the disruptor must consider several issues: How might it pitch its innovation to attract end customers and yet reduce the threat of disruption perceived by ecosystem incumbents? How can the innovation be modified to fit into legacy systems while transforming them? Based on an in‐depth analysis of TiVo and its entrepreneurial journey, we explore the strategies disruptors can deploy to address these issues. Copyright © 2015 John Wiley & Sons, Ltd.     

From ‘Publish or Perish’ to Societal Impact: Organizational Repurposing Towards Responsible Innovation through Creating a Medical Platform

Why would an academic project incentivized towards scientific publications be repurposed to become a medical platform for responsible innovation? Patient Innovation, a non-profit medical platform that focuses on the sharing and dissemination of innovations to find solutions for rare and chronic diseases, was initially set up as an academic research project. However, team members reframed their core purpose from conducting research on user innovation to providing global access to these innovations and creating societal impact. Using a framing lens to understand organizational repurposing, we illuminate how serendipitous inspiration, moral emotions and the power of socially conscious users and catalysts drove this emergent reframing of core purpose and develop a model of organizational repurposing. We show how a frame drift towards a change in purpose occurs spontaneously in interactions, as actors frame and reframe situations and feel inspired and morally motivated to transcend their immediate self-interests and serve collective goals.     

Determinants of Exports in China’s Meat Industry: A Gravity Model Analysis

ABSTRACT

What are the major determinants of China’s meat exports flows? In addressing this question, we propose a commodity-specific gravity model. This study has employed a unique dataset of 20 years (1997–2016) for China’s pork exports flows to its 31 regular trading partners to estimate the commodity-specific gravity model. The PPML and Heckman selection models are simultaneously estimated to confirm the robustness of the findings. The results reveal that GDP, exchange rate, common language, and country land area are the significant factors affecting the Chinese pork exports flows. Moreover, China’s WTO membership, the ‘Belt & Road’ Initiative, and the common borders have a positive significant impact on its exports of pork.     

Corporate Governance in China: A Meta‐Analysis

How has the impact of ‘good corporate governance’ principles on firm performance changed over time in China? Amassing a database of 84 studies, 684 effect sizes, and 547,622 firm observations, we explore this important question by conducting a meta‐analysis on the corporate governance literature on China. The weight of evidence demonstrates that two major ‘good corporate governance’ principles advocating board independence and managerial incentives are indeed associated with better firm performance. However, we cannot find strong support for the criticisms against CEO duality. In addition, we go beyond a static perspective (such as certain governance mechanisms are effective or ineffective) by investigating the temporal hypotheses. We reveal that over time, with the improvement in the quality of market institutions and development of financial markets, the monitoring mechanisms of the board and state ownership become more strongly related to firm performance, whereas the incentive mechanisms lose their significance. Overall, our findings advance a dynamic institution‐based view by substantiating the case that institutional transitions matter for the relationship between governance mechanisms and firm performance in the second largest economy in the world.     

Exploring the Framework Development Status for Sustainability in Supply Chain Management: A Systematic Literature Synthesis and Future Research Directions

The need to integrate environmental and social aspects into the supply chain has created a debate amongst academicians and researchers on two topics: sustainability and the supply chain. A large number of journals and special volumes are publishing research that carries out a case study or survey, develops a mathematical model or builds a conceptual model/framework on sustainable supply chain management (SSCM). However, classified analysis of articles that develop a framework on SSCM has not been carried out by any researcher. The study thus aims to review SSCM framework articles to identify the major contributions and gaps. A total of 92 framework articles on SSCM from the sample of 349 over a period of 19 years (1998–2016) are structurally analyzed to meet the objectives. The selected literature is categorized by novel or adapted framework, source of framework, framework verification, method used for framework verification and identifying the constructs/elements that build the structural framework. Analyzing the literature sample using these categories reveals that framework development in the context of SSCM is still an area with ample future opportunities. The findings of the study are especially interesting for academicians and practitioners to investigate the critical gaps in the field of sustainable supply chain management frameworks (SSCMFs). Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Modeling preference evolution in discrete choice models: A Bayesian state-space approach

We develop discrete choice models that account for parameter driven preference dynamics. Choice model parameters may change over time because of shifting market conditions or due to changes in attribute levels over time or because of consumer learning. In this paper we show how such preference evolution can be modeled using hierarchial Bayesian state space models of discrete choice. The main feature of our approach is that it allows for the simultaneous incorporation of multiple sources of preference and choice dynamics. We show how the state space approach can include state dependence, unobserved heterogeneity, and more importantly, temporal variability in preferences using a correlated sequence of population distributions. The proposed model is very general and nests commonly used choice models in the literature as special cases. We use Markov chain monte carlo methods for estimating model parameters and apply our methodology to a scanner data set containing household brand choices over an eight-year period. Our analysis indicates that preferences exhibit significant variation over the time-span of the data and that incorporating time-variation in parameters is crucial for appropriate inferences regarding the magnitude and evolution of choice elasticities. We also find that models that ignore time variation in parameters can yield misleading inferences about the impact of causal variables. This paper is based on the first author's doctoral dissertation.