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This paper aims to propose a theoretically informed and analytically rigorous research framework that sustainability researchers could use or further develop to examine visually persuasive messages in photographs.

Drawing on the theoretical constructs of Peirce’s (1991) visual semiotic system of icon, index and symbol and Aristotle’s (1984) persuasive appeals of ethos, pathos and logos, the authors propose a research methodology that provides an explicit step-by-step guidance to examine visually persuasive messages in sustainability-related photographs. The sustainability-related photographs in The Coca-Cola Company’s 2018 Business and Sustainability Report are examined to illustrate the application of the framework.

This paper develops a research framework and provides empirical evidence of the use of the framework to enhance the understanding of visually persuasive messages depicted in photographs.

The proposed framework serves as a springboard for further research into visually persuasive messages.

The research framework of visual persuasion is novel and can be used by sustainability researchers to analyse photographs in corporate reports. It can be extended/modified to capture visual representations in different contexts and other disciplines as well.

The purpose of this paper is to critically review and synthesize the articles on determinants of international new venture (INV) performance to identify the research gaps in this area and develop a future research agenda.

Adopting a semi-systematic review approach with a fucus on using a vote-counting technique, this paper reviews 99 journal articles published between 1994 and 2019 to assess the determinants of INV performance.

The results indicate that the majority of the INV performance articles employ a clearly specified theoretical foundation, focus on INVs in developed economies and non-service sectors, identify numerous firm-level determinants of INV performance and use advanced statistical methods (e.g. structural equation modeling and panel data models). However, the research of INV performance is still limited by a lack of a broader integration of theories at different levels, inconsistent theoretical predictions and empirical results, knowledge gaps, and estimation biases (e.g. endogeneity).

INV performance has received increasing attention over recent decades, but this area is still characterized by fragmentation and inconsistency. This paper provides a comprehensive and nuanced review that synthesizes and clarifies our current knowledge on the determinants of INV performance, provides further discussion with deeper insights from both theoretical and methodological aspects, and points out some directions for future research.

This paper reflects on the evolution of implicit and explicit behavioral ideas in the field of strategic management using Herbert Simon’s scholarship as a starting point, that is, his emphasis on empirically driven; interdisciplinary theorizing allowing and enabling two-way street learning. We argue that historically, there were plenty of behavioral ideas embedded in the field and, together with the recent movement towards explicit “behavioral strategy,” these provide several possible paths for future developments in strategic management research. In the spirit of broadening the tent for behavioral strategy in the future (Hambrick & Crossland, 2018), we suggest some topics and approaches for behavioral strategy in empirically driven, interdisciplinary directions which allows also for two-way street learning between concepts and real-world strategic phenomena.

This paper builds on Melynk’s et al. (2010) seminal article by reviving the concept of outcome-driven supply chain (ODSC) and empirically examining its relationship with supply chain practices and performance implications in an attempt to articulate its antecedents and consequences for small- and medium-sized enterprises (SMEs) in New Zealand (NZ). The purpose of this study to empirically examine outcome-driven supply chain and its practices from the perspective of small-and medium-sized enterprises (SMEs) in New Zealand.

A theoretical framework is developed drawing on an extensive review of the literature. Structural equation modelling is used to analyse the data collected from 107 NZ SMEs.

The results identify that SMEs can work on three aspects of supply chain practices (process integration, partnership and use of information and communication technology) to deliver blended ODSC outcomes (efficiency, agility and security) to improve performance. The empirical results show the implementation ODSC in the context of NZ SMEs can bring performance benefits.

The research starts a pioneer work on understanding ODSC in the context of NZ SMEs. Also, this study provides a valuable guideline to ODSC practices to improve ODSC outcomes and related performance benefits.

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.

The authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled indicators for both driving behaviour (times of aggressive speed change and times of lane change) and road smoothness (average speed and average vibration times of the vehicle body).

The developed driving grading system demonstrates highly accurate evaluations in practical use. Data analytics on the constructed indicators prove the significances of both driving behaviour heterogeneity and the road smoothness effect on objective driving grading. The methodologies are validated with real-life tests on different types of vehicles, and are confirmed to be quite effective in practical tests with 95% accuracy according to prior benchmarks. Data analytics based on the grading system validate the hypotheses of the driving fatigue effect, daily traffic periods impact and transition effect. In addition, the authors empirically distinguish the impact strength of external factors (driving time, rainfall and humidity, wind speed, and air quality) on driving performance.

This study has good potential for providing objective driving grading as required by the modern logistics industry to improve transparent management efficiency with real-time vehicle data.

This study contributes to the existing research by comprehensively measuring both road smoothness and driving performance in the driving grading system in the modern logistics industry.

The purpose of this paper is to show that academic misconduct appears to be on the rise; some research has linked academic misconduct to unethical workplace behaviors. Unlike previous empirically‐driven research, this theory‐based study seeks to examine the usefulness of a modification of Ajzen's theory of planned behavior to predict academic misconduct.

A total of 271 students enrolled at a US university were surveyed. Structural equation modeling was used to test the model.

The modified theory of a planned behavior model in which intentions and justifications both serve as antecedents to behavior fits the data well. The model accounted for 22 per cent of the variance in intentions to cheat and 47 per cent of the variance in self‐reported cheating.

The primary limitations of this research are the cross‐sectional research design, the self‐selected sample, and the single source of survey data.

The study extends the TPB model in the prediction of misconduct behavior. Attitudes, subjective norms, behavioral control, intentions and justifications were related to cheating behaviors. Academic misconduct may be reduced by shaping attitudes toward cheating, changing perceptions of subjective norms regarding the prevalence of cheating, and lowering students' perceptions of their control of cheating by, for example, emphasis on the consequences of getting caught. Understanding and reducing academic misconduct are important for promoting ethical behavior and values in future worker and organization leaders.

Identification of factors that influence academic misconduct is an important aspect of professional development research, given its link to workplace misconduct. To date, academic misconduct research has been primarily empirically‐ rather than theory‐driven. The current study identifies factors that contribute to academic misconduct by extending an established theoretical model of behavior.

Within the labor-intensive construction industry characterized by distinctly structural shortages in the labor force worldwide, efficient and effective migration of construction workers across regions is critical for the smooth operation of construction activities. This study aims to investigate how the interregional migration patterns of construction workers are impacted by the disparities in both employment opportunities and environment amenities between the origin and destination provinces.

Drawing on the push and pull theory and the archival data on 13,728 migrant construction workers in China, descriptive analyses are first performed to characterize the interregional migration patterns of the investigated construction workers. Combining regional data in the National Bureau of Statistics of China, this study uses hierarchical regression modeling techniques to empirically test the relative importance of the employment-related and environment-related factors in driving the interregional migration of construction workers after controlling for the effects of related economic and geographic factors.

The results provide evidence that the interregional migration of construction workers is principally driven by the disparities in employment opportunities while disparities in environment amenities (including climate comfort disparity, medical service disparity and educational service disparity) generally play much fewer substantive roles. With regard to the impacts of employment opportunities, the results provide evidence that compared with the disparity in job market size, the disparities in job income and industry development level are more significantly relevant factors, which positively pull and adversely push the interregional migration flows, respectively.

This study contributes to a deepened understanding of how workers specifically balance their employment and amenity needs to make temporary migration decisions in the “laggard” labor-intensive construction industry. This study also adds to the literature on population migration by characterizing the specific characteristics of construction workers and the temporary nature of the workers' migration activities. The findings hold important practical implications for construction organizations and policymakers for effectively managing the mobility of migrant construction workers.

The extant literature on migrant construction workers has primarily focused on the consequences of international migration and the generalization of empirical findings on population migration mechanisms in other domains to the construction industry is substantially limited by the specific characteristics of construction workers and the temporary nature of their migration activities. In addressing this gap, this study represents an exploratory effort to quantitatively characterize the interregional migration patterns of construction workers in the labor-intensive construction industry and examines the roles of employment opportunity and environmental amenity in driving interregional migration.

The contemporary focus on high fidelity implementation of research-based practices often creates tensions for educators who seek to balance fidelity with needed flexibility as they strive to improve learner outcomes. In an effort to improve how decisions are made such that flexibility is achieved while fidelity to core components is maintained, this chapter begins with a discussion of the role of fidelity in research and practice. Particular attention is given to current conceptualizations of fidelity that may help inform theoretically and empirically driven adaptations to research-based practices. Specifically, we describe adaptations based on the instructional context for implementation and the characteristics of the individual learners. A framework for adapting research-based practices is then presented with relevant examples from research designed to optimize learner responsiveness without sacrificing fidelity to core components. The chapter ends with implications and future directions for research and practice.

The peer-to-peer perspective on open data is an interesting topic to research, taking into account that data-driven innovations and related startups are often developed independently by civic and private stakeholders in a highly collaborative manner and are tentatively beginning to directly compete with traditional e-government solutions, providing arguably better services to citizens and businesses. In this regard, the paper aims to further debate on the potential of such independent data-driven collaboration not only to transform the traditional mechanisms of public sector innovations but also provide more democratic ways to ensure greater transparency of government and its responsibility before the society.

The research is based on a cross-country case study, resorting to the content analysis of three demonstrative cases in the development of open data-driven projects, which specifically promote peer-to-peer communication between its stakeholders. In this regard, the case study itself relies heavily on the analysis of rich empirical data that the author collected during his field studies in the Northern European region in 2015–2017, particularly in Estonia, Finland and Sweden. The practical research itself consists of three major parts, which reflect peer-to-peer perspectives of correspondingly civic, public and private stakeholders through manifested examples of related independent projects in the area.

The paper's results demonstrate that the use of peer-to-peer mechanisms in advancing related public sector reforms allows to transform the traditional understanding of e-government phenomena in a conceptually new way. E-government or its last more political interpretation – from the perspective of its peers could be regarded not necessarily as a platform to provide digital public services but as a source of raw material for various third party projects in, respectively, civic, government and business peer-to-peer dimensions of such reforms. As a result, open data provides an interesting playground to change the very nature of public sector innovations in the area.

The choice of countries for research was motivated by purposive and convenience sampling because all these countries are situated in one region, have both similarities and differences in historical, political and socioeconomic backgrounds and, therefore, provide an ideal playground to investigate open data as a context dependable phenomenon. In this regard, the unique political and socioeconomic contexts of these countries provide an interesting playground to debate on the potential of social democracy, egalitarian society and social equality, i.e. public values that are deeply embedded into the fabric of societies there, to benefit the open data movement in a fundamental manner.

This paper reports on unique practical approaches for peer-to-peer collaboration and cooperation in advancing open data-driven platforms among stakeholders. The results of the case studies in three Nordic countries, which are currently among global leaders in advancing the concept of open government, are presented in an intrinsically illustrative manner, which could help practitioners and policymakers to understand better the potential of such a peer-to-peer perspective on open data. In this regard, the models proposed, of citizen-to-citizen, business-to-business, government-to-government interactions, could be interesting to a wide audience of e-government stakeholders in many nations.

The paper also enters into philosophical debates about societal implications of digital peer-to-peer data-driven communication among people. Recent efforts to digitize almost every part of social life, starting from popularization of solutions for distant work and ending to online access to various public services, incentivize individual members of civil society to communicate in an inherently peer-to-peer way. This fact will definitely increase the demand for related digital services. Social distancing in a digital context will allow to paradoxically emancipate technically savvy and entrepreneurial people in creating new services, including using open data, which could meet the demand.

The research is intrinsically of an empirical character because recent e-government reforms in the public sector in many countries, including in the open data area, provide rich practical knowledge to test the limits of new technologies to advance society in socioeconomic and, more importantly, political development. In this regard, this paper provides the first research in analyzing open data from a unique peer-to-peer perspective with an ultimate goal of the whole investigation to draw the attention of other e-government scholars and initiate debates on the collaborative nature of the phenomena to empower civil society and ensure transparency of government.