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The purpose of this paper is to propose that a more optimal regulatory focus in conflict reflects a mix of promotion and prevention considerations because conflict often elicits needs for promoting well-being as well as needs for preventing threats to security and interests. Two studies using distinct methodologies tested the hypothesis that social conflict is associated with better outcomes when the parties construe the conflict with a regulatory focus that reflects a combination of both promotion and prevention orientations.

Study 1 was an experiment that framed the same low-intensity conflict scenario as either prevention- or promotion-focused, or as both. In Study 2, we mouse-coded stream-of-thought accounts of participants’ actual ongoing high-intensity conflicts for time spent in both promotion and prevention focus.

In Study 1, the combined framing resulted in greater satisfaction with expected conflict outcomes and goal attainment than did either prevention or promotion framing alone. However, a promotion frame alone was associated with greater process and relationship satisfaction. These results were replicated in Study 2.

Prior research on regulatory focus has emphasized the benefits of a promotion focus over prevention when managing conflict. The present research offers new insight into how these seemingly opposing motives can operate in tandem to increase conflict satisfaction. Thus, this research illustrates the value of moving beyond dichotomized motivational distinctions in conflict research, to understand the dynamic interplay of how these distinctions may be navigated in concert for more effective conflict engagement. It also illustrates the value of mouse-coding methods for capturing the dynamic interplay of motives as they rise and fall in salience over time.

The purpose of this paper is to investigate the German and Hungarian Governments’ mediated public diplomacy (mpd) efforts during the European migrant crisis and their reflection in the international news media.

The study relies on a quantitative content analysis of English press releases and interviews distributed by the governments and their reflection in CNN and Al-Jazeera English. Overall, a sample of 483 texts was coded. Herein, the main actors, topics, frames, and information subsidies were analyzed. A comparison of the public diplomacy efforts and their reflection in the news then allows for assumptions about their potential impact on the news.

The data shows that the Hungarian Government uses more information subsidies in their communication than their German counterpart. Hence, the news agenda shows more similarities to the main topics put forward in the Hungarian sub-sample. The news framing, however, is more favorable toward the perspectives put forward in the German public diplomacy.

The results indicate that well planned and designed messaging does not guarantee successful communication. It also shows that critical journalism still plays an important role in the international news production.

The paper’s main contribution is that it goes beyond the war-based case studies on mpd and investigates one of the most relevant transnational issues in the last decades. In addition, it sheds light on why the media reflect some sponsored frames while they mostly discredit others.

The purpose of this paper is to propose a solution for automating the task of matching business process models and search for correspondences with regard to the model semantics, thus improving the efficiency of such works.

A method is proposed based on combining several semantic technologies. The research follows a design-science-oriented approach in that a method together with its supporting artifacts has been engineered. It application allows for reusing legacy models and automatedly determining semantic similarity.

The method has been applied and the first findings suggest the effectiveness of the approach. The results of applying the method show its feasibility and significance. The suggested heuristic computing of semantic correspondences between semantically heterogeneous business process models is flexible and can support domain users.

Even though a solution can be offered that is directly usable, so far the full complexity of the natural language as given in model element labels is not yet completely resolvable. Here further research could contribute to the potential optimizations and refinement of automatic matching and linguistic procedures. However, an open research question could be solved.

The method presented is aimed at adding to the methods in the field of business process management and could extend the possibilities of automating support for business analysis.

The suggested combination of semantic technologies is innovative and addresses the aspect of semantic heterogeneity in a holistic, which is novel to the field.

The purpose of this paper is to examine the use of smartphone apps as tools to promote healthy eating behaviors, especially when ordering food and drinks in restaurants. This paper also aims to develop a conceptual model based on literature to test users' intention to use smartphone apps as tools to promote healthy eating habits.

The article is written based on a synthesis of previous research in this area.

Smartphone apps are innovative channels for delivering individual health behavior changes. They offer a range of services that can improve the daily habits of their users. Smartphone apps allow users to keep up with their diets, exercise routines, and overall health. Based on an extensive review, this paper develops a conceptual model that includes the precursors of actual usage of smartphone apps that may assist in building healthy eating habits.

Restaurants are advised to consider developing apps that includes nutritional facts about their menu items. These apps could be used for both consumer education and marketing efforts. The conceptual framework developed in this paper suggests that perceived enjoyment, perceived usefulness, perceived ease of use, self-efficacy and social norms are the antecedents of intention to use these apps.

This is one of the first studies in the foodservice and nutrition fields that looks at the smartphone apps' impact on healthy eating. It offers practical implications for restaurateurs and smartphone app developers. In addition, this is one of the first papers that offers a model to test smartphone users' intention to use smartphone apps when ordering food and drinks in restaurants.

The purpose of the paper is to suggest a novel approach that groups the theories of systems, information and bounded rationality into organizational knowledge management. We base our discussion on knowledge process mapping akin to the supply chain perspective. This is done to understand the governing principles of knowledge movement within an organizational system, and how the different functions within that system behave and interact among themselves in managing knowledge. We attempt to understand the impact of organizational structure in knowledge transfer and utilization among the different participating functions in the perspective of systems theory. Based on this framework the paper then makes use of information theory to comprehend the ideas behind an effective process of knowledge movement in any organization, and the probable factors that influence such movements. Lastly the concepts of bounded rationality are brought in, to examine the behaviors and interactions of these functions in creating, exploiting and sharing knowledge towards an effective knowledge management system.

Apart from, the smart edge computing (EC) robot (SECR) provides the tools to manage Internet of things (IoT) services in the edge landscape by means of real-world test-bed designed in ECR. Eventually, based on the results from two experiments held in little constrained condition, such as the maximum data size is 2GB, the performance of the proposed techniques demonstrate the effectiveness, scalability and performance efficiency of the proposed IoT model.

Certainly, the proposed SECR is trying primarily to take over other traditional static robots in a centralized or distributed cloud environment. One aspect of representation of the proposed edge computing algorithms is due to challenge to slow down the consumption of time which happened in an artificial intelligence (AI) robot system. Thus, the developed SECR trained by tiny machine learning (TinyML) techniques to develop a decentralized and dynamic software environment.

Specifically, the waste time of SECR has actually slowed down when it is embedded with Edge Computing devices in the demonstration of data transmission within different paths. The TinyML is applied to train with image data sets for generating a framework running in the SECR for the recognition which has also proved with a second complete experiment.

The work presented in this paper is the first research effort, and which is focusing on resource allocation and dynamic path selection for edge computing. The developed platform using a decoupled resource management model that manages the allocation of micro node resources independent of the service provisioning performed at the cloud and manager nodes. Besides, the algorithm of the edge computing management is established with different path and pass large data to cloud and receive it. In this work which considered the SECR framework is able to perform the same function as that supports to the multi-dimensional scaling (MDS).

Netizens refer to citizens of the internet, and code-switching refers to the use of more than one language, style or form of expression to communicate. This study explores the advertising communication effectiveness of using netizen language code-switching in Facebook ads. Moreover, if a brand is with negative brand images, using positive brand images as a control group, this study investigates not only the advertising communication effectiveness of netizen language code-switching but also its effectiveness of remedying the negative brand images.

Online experiments were conducted, and data were analyzed using independent sample t-test, MANOVA and ANOVA.

The results indicate that netizen language code-switching can enhance advertising communication effectiveness in Facebook ads. Furthermore, under a negative brand image, netizen language code-switching has significant effects on improving Facebook advertising communication effectiveness.

This study takes netizens as the research subjects to explore the advertising communication effectiveness of netizen language code-switching in Facebook ads. This study provides further insight into the effect of netizens' culture on Facebook advertising and enriches the existing literature on social media advertising, as well as expanding the application of code-switching. The results of this study provide enterprises a new perspective on the copywriting content design of Facebook ads.

This paper aims to explore the effect of interlocking directorates on agency conflicts and corporate performance in the shipping industry.

The authors use social network analysis to discover central nodes in the network of personal and corporate connections in an international sample of 110 listed shipping companies.

Assessing network structure, the authors find that the network of corporate leaders is denser than the network of shipping companies. The network of shipping companies is populated with many isolated nodes; the network of shipping executives and directors is populated with many cohesive groups in which the longest distance between two corporate leaders is two companies. The authors find that interlocking corporate leadership can help resolve agency conflicts in the shipping industry, bearing a negative effect on the magnitude of agency costs. The extent of leadership overlaps is associated with board size, financial leverage and profitability. The relationship between profits and interlocks is bidirectional, implying that interlocking directorates bear a positive effect on asset returns.

The authors map the relational structures in the social networks of companies and company leaders in the shipping industry and discover the cross-sectional determinants of interlocks in the shipping industry. The finding about the effect of interlocks on profitability and agency costs bears policy implications for the design of corporate governance in the shipping industry.

In recent years a large number of studies have appeared on information systems (IS)/information technology (IT) outsourcing related issues but scattered in a number of distantly related publishing outlets which may hamper the use of such published resources and repetition of research conducted by various researchers. The purpose of this paper is to conduct a systematic survey of the literature pertaining to research on IS/IT outsourcing.

The research aim was accomplished by extracting information on a number of relevant variables by conducting a review of 315 articles on IS/IT outsourcing published between 1992 and 2008.

The analysis is presented by listing and illustrating subject category, journals, year of publications and country, frequently published authors, productive institutions, the trend of collaborative nature (co‐author analysis) of research, the impact/influence of published research; topics/research issues and utilised methods, and the challenges and limitations of existing research.

Results of this research may have implications for both private and public sector organizations interested in outsourcing IS/IT services and applications, and various stakeholders of academic publishing (namely, researchers, journal editors, reviewers and universities) research on IS/IT outsourcing.

The primary value of this paper lies in extending the understanding of evolution and patterns of outsourcing research.