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The authors construct asset portfolios comprising small-sized companies and value stocks that provide with higher returns for the UK market based on a three-factor model with incorporated behavioural features. The authors were able to demonstrate that value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, the authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions. The paper aims to discuss these issues.

The authors were able to demonstrate that value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions.

Value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, the authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions. Overall, asset pricing models with embedded risk factors which entail either shares or dividends are logically circular behavioural simultaneities, thus invalid when tested and estimated by statistical methods as an outcome of the EMH.

In distinctive contrast to the recent literature, the authors show that the returns from a size factor model of small stocks tend to outperform big stocks especially in crisis periods. Moreover, the authors were able to demonstrate that value factor model is vulnerable to behavioural patterns, especially corporate fraud. In all of the above, the authors utilised a new proportional sorting methodology against the value ranking approach, commonly employed in empirical studies. Strong evidence is observed that portfolio performance based on various syntheses of allocated assets reveals counter-intuitive results related to the BE/ME, namely, that expected returns based on size and BE/ME produce significant errors and small firms retain consistently better returns. The reason might be the unusual accounting techniques many firms follow to receive extended capital after management decisions. Overall, asset pricing models with embedded risk factors which entail either shares or dividends are logically circular behavioural simultaneities, thus invalid when tested and estimated by statistical methods as an outcome of the EMH.

The purpose of this paper is to present an integrated analysis of determining factors of farmers’ genetically modified (GM) technology adoption behavior, with a special emphasis on information acquisition, knowledge accumulation, product attributes and technology traits.

Extending the expected profit maximization framework into a random utility model which accommodates joint decisions of information acquisition and technology adoption, the authors use the full information maximum likelihood method to yield both consistent and efficient estimates. The model is applied to a field survey collecting a sample of 141 randomly selected bananas farmers.

The empirical results indicate information acquired through social network will increase the probability of adoption. Knowledge accumulation as depicted by education and farming experience is found to play a role in farmers’ technology adoption, whereas disease-resistant technology trait and flavor-enriching product attribute of GM bananas also appear to be important determinants for GM seeds adoption in Taiwan.

Empirical evidence supports significance of technology traits and product attributes in farmer's GM technology adoption, suggesting the close collaboration between industry, government and academia is the key to successful commercialization of GM crops.

Understanding the determinants of farmers’ GM technology adoption can serve as the basis for promoting new biotechnology, and thus can facilitate the establishment of tenable solutions to food security issues.

This paper is the first attempt to incorporate information acquisition into the behavioral analysis of GM technology adoption. The present study also extends previous literature by considering influential factors related to both consumers’ and producers’ preferences in modeling technology adoption.

Programming of festivals is more and more becoming a source from which the competitive advantages of the festivals may originate. This study aims to conceptualize the dimensionality of programming quality of festivals and empirically test it and its relationships with the satisfaction and behavioral intention levels of festival visitors.

Structured interviews were conducted with 350 visitors to a cultural festival. Structural equation modeling (SEM) was utilized in the data analysis.

The programming quality of festivals was found to consist of six dimensions, namely diversity, stakeholder balance, incrementality, simultaneity, flexibility and linkage. Meanwhile, the positive effects of festival programming quality on the satisfaction and behavioral intention levels of festival visitors are confirmed.

This study is limited for possible inexhaustiveness of the dimensions proposed and examined. Future research is needed to make the current measurement more rigorous, succinct and comprehensive.

This study can offer some valuable insights for festival planners and organizers to better design, operate and manage their festival to such an extent that the experiences of festival visitors are maximized, visitor satisfactions are enhanced, and re‐visits to future festivals facilitated.

This study makes its contribution to better understanding of festival programming quality, where artistic, emotional and technological aspects are integrated. This study aims to delineate the entirety of programming quality of festivals and its relationships to the satisfaction and behavioral intention levels of festival visitors.

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

The purpose of this paper is to analyze how the internationalizing firm accumulates knowledge from different domains throughout time, during entry and post-entry moves in a foreign market. This paper focuses on market, institutional, internationalization and technological knowledge.

The paper uses a comparative case study method, relying on three longitudinal cases of multinational firms' (MNEs) internationalization processes, particularly concerning MNEs' entry and post-entry moves in one foreign market (Brazil).

Throughout the internationalization processes, the internationalizing firms unevenly developed experiential knowledge within Brazil. As a result, the market, internationalization, institutional and technological knowledge followed different accumulation patterns, distinguished based on precedence, simultaneity and speed. More specifically, (1) the market and institutional knowledge trajectories evolved simultaneously; (2) the market knowledge trajectory preceded that of technological knowledge and (3) the accumulation of internationalization knowledge happened faster than that of the market, institutional and technological knowledge.

This paper shows how knowledge accumulation in internationalization processes varies throughout time and according to the type of knowledge involved. While most of the literature relies on cross-sectional studies that discount the changing nature of knowledge, this paper shows that the internationalizing firm accumulates market, internationalization, institutional and technological knowledge following three temporal dimensions: precedence, simultaneity and speed.

This chapter outlines a new approach to measuring peer influence on the choice of a young person to smoke cigarettes. The methodology is based on estimating an equilibrium discrete choice model in which the relative benefit to smoking is increasing in the fraction of peers who smoke. In contrast to much of the literature, this structural model allows for positive correlation in observable and unobservable characteristics between peers. The structural approach has been applied to estimating close friend peer effects in Canada, California, and the U.S.A. in general. In all three settings, I find that close friend smoking is substantially less influential than is generally found by previous studies.

The American Sociological Association Communication, Information Technology, and Media Sociology (CITAMS) section has long been concerned with the processes by which social connectedness and solidarity are created in a technology-rich, digitized society. In this chapter, the role of temporal symmetry in facilitating social synchronicity and digital connectedness is explored. Unity through simultaneity, which develops when spatially separated people focus on the same things at the same time, was conceptualized by sociologist Eviatar Zerubavel in a largely pre-digital age (1981) and coined as temporal symmetry. The concept has great relevance for the digital era and helps to explain why social media and digital technology have become so popular, consequential, and, indeed, indispensable in modern everyday life. The chapter explains how temporal symmetry is generated via digital technology in such activities as the viewing of live-streamed events, texting, and synchronous social media use. It examines how the temporal coordination of individuals’ streams of thought and internal rhythms can result in interpersonal similarity, like-mindedness, shared identities, and social synchronicity. Finally, it discusses the impact of these phenomena on digital connectedness, social life, and society in a digital age, contributing to the body of research CITAMS is committed to developing in helping the academy and the general public understand the impact of communication, information technology, and media on people’s techno-social lives.

It is suggested that the left hemispheric neurons and the magnocellular visual system are specialized in tasks requiring a relatively small number of large neurons having a fast reaction time due to a high firing rate or many dendritic synapses of the same neuron which are activated simultaneously. On the other hand the right hemispheric neurons and the neurons of the parvocellular visual system are specialized in tasks requiring a relatively larger number of short term memory (STM) Hebbian engrams (neural networks). This larger number of engrams is achieved by a combination of two strategies. The first is evolving a larger number of neurons, which may be smaller and have a lower firing rate. The second is evolving longer and more branching axons and thus producing more engrams, including engrams comprising neurons located at cortical areas distant from each other. This model explains why verbal functions of the brain are related to the left hemisphere, and the division of semantic tasks between the left hemisphere and the right one. This explanation is extended to other cognitive functions like visual search, ontological cognition, the detection of temporal order, and the dual cognitive interpretation of the perceived physical phenomena.

Reports on content‐analysis research of television commercials for products, services and retail outlets attempting to discover whether the objectives or strategies used differ. Uses three frameworks for evaluation of the product and service advertisements. Finds that services, product and retail marketers are using different advertising strategies. Notes that many of the differences seem to be concerned with the heterogeneity, simultaneity and intangibility of services and discusses implications for managers of these findings.

This study investigates the relationships between environmental performance feedback and green supply chain management (GSCM). It explores how environmental performance above or below aspirations affects the implementation of GSCM practices (specifically sustainable production [SP] and sustainable sourcing [SS]) through the lens of the behavioral theory of the firm (BTOF), which has received scant attention in the operations management literature.

The study used data from the sixth round of the International Manufacturing Strategy Survey (IMSS). It employed hierarchical linear regression to test the proposed hypotheses. Moreover, the study tested an alternate model to rule out the possible role of financial performance aspirations in explaining the implementation of SP and SS.

The results indicate that organizations determine their efforts put into the two GSCM practices according to environmental performance feedback: the greater the aspiration–environmental performance discrepancy, the stronger the efforts put into implementing GSCM practices.

This study contributes to the GSCM literature by revealing the impact of environmental performance aspirations on the implementation of GSCM practices through the lens of the BTOF. It also extends the BTOF by applying it in the GSCM context and indicating that performance feedback is based on environmental performance instead of financial performance in this specific context.