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The purpose of this paper is to assess the state of the art of social business process management (Social BPM), explaining applied approaches, existing tools and challenges and to propose a research agenda for encouraging further development of the area.

The methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work related to Social BPM solutions and those contributing with social characteristics to BPM. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 51 papers that were selected and analyzed in depth.

Main results show that there are several studies investigating modeling approaches for socializing process activities and for capturing implicit knowledge possessed and used by process actors, enabling to add some kind of flexibility to business processes. However, despite the proven interest in the area, there are not yet adequate tools providing effective solutions for Social BPM. Based on our findings, the authors propose a research agenda comprising three main lines: contributions of social software (SS) to Social BPM, Social BPM as a mechanism for adding flexibility to and for discovering new business processes and Social BPM for enhancing business processes with the use of new technologies. The authors also identify relevant problems for each line.

Some SS tools, like wikis, enable managing social aspects in executing business processes and can be used to coordinate simple business processes. Despite they are commonly used, they are not yet mature tools supporting Social BPM and more efficient tools are yet to appear. The lack of tools preclude organizations from benefitting from implicit knowledge owned by and shared among business process actors, which could contribute to better-informed decisions related to organizational processes. In addition, more research is needed for considering Social BPM as an approach for organizations to benefit from the adoption of new technologies in their business processes.

The paper assesses the state of the art in Social BPM, an incipient area in research and practice. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, the use of social software, including social media tools, for leveraging on implicit knowledge shared by business process actors to improving efficiency of business processes.

The objective of the work is to analyze the impact of the Internet of Things (IoT) concepts and associated technologies in the framework of organizations and the management of their processes and how event orientation, as well as the structure of said business processes, can play an important role in this new organizational model. The main contribution of this work is to present a conceptualization of the research, identify approaches and challenges that require further study, and as a result, a proposal for future research.

The methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work around the IoT and Industry 4.0 applied to business process management. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 95 papers that were selected and analyzed in depth.

The results of this research allow analyzing and ordering the existing contributions around Industry 4.0 and its impact on current organizations. The proposed conceptualization was derived from the analysis of the state of the research and identifies four categories: (1) improvements caused by Industry 4.0 and its impact on inter-organizational relations, (2) new architectural models and infrastructure of remote resources, their movement from the cloud to the edge and its effect on business processes, (3) context-aware concepts brought to business process management (BPM) linked to unstructured business processes and (4) complex event processing as a possible means for business processes sensitive to IoT signals.

The construction of current software ecosystems is strongly affected by the variety of information sources that feed them, as well as their volume. In addition, business processes represent organizations internally and are challenged to transcend the limits of companies due to the mentioned changes in software ecosystems. Industry 4.0 in conjunction with BPM re-defines the business process management paradigm and leads them to acquire the dynamism and sensitivity to the context that they usually did not have, as well as force them to move toward distributed platforms.

This paper assesses the state of the art in Industry 4.0 and business process management. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, new conceptual, technological and methodological challenges to information systems that have to become more sensitive to event processing and also have to consume a large volume of data permanently and ubiquitously.

The purpose of this paper is to examine the production of smart tourism knowledge, thereby revealing the development of the concept through collaborative networks.

A bibliometric analysis, which enables visual mapping and observation of the domain, was conducted using journal articles retrieved during the period of 2000 to 2018.

The understanding of smart tourism is shaped and enhanced through collaborative network of researchers. As the domain develops, its reach expands across different networks as well as core themes.

Data for the study was generated from English-written journal articles that were produced from a database search of specific keywords associated with smart tourism.

Findings can prove useful to academic researchers and industry practitioners to aid their understanding of smart tourism research development, identify the underlying context and aid in coherent development of the concept.

The paper is one of the first articles to provide a greater understanding of smart tourism as a research topic by examining its evolution in an academic context through bibliometric analysis.

本论文对智慧旅游相关知识进行审阅, 并通过协作网络对其概念发展进行梳理。

本论文采用Gephi文献计量分析方法, 对其相关领域的发展进行视觉化处理, 构建出发展图。研究样本为2000年至2018年发表的期刊文章, 通过在线搜索数据库获得。

通过研究者之间的协作网络, 本论文研究结果对智慧旅游的认识清晰形成并且更加深刻。自智慧旅游领域发展以来, 其发展扩展到不同网络以及多个核心主题。

研究样本只局限于数据库中的英文期刊文章, 以及采用有限的智慧旅游的关键词搜索。

研究结果对学术学者和业界人士有着深刻效用, 以帮助他们对智慧旅游研究发展构筑清晰理解, 找到其研究背景以及概念发展的核心过程。

This chapter maps existing patterns of broad-based worker ownership and control in contemporary advanced capitalism and considers future possibilities for expanding democracy within firms. Section one discusses worker ownership and control arrangements in relation to different theories of the firm and shows how these arrangements map onto different national systems. Section two compares Germany, which is characterized by worker control without ownership, and the United States, which is marked by worker ownership without control. Section three explores three pathways through which broad-based worker ownership and control might be deepened and more strongly coupled in the future.

This introduction sets forth the main themes of the volume, reviews the methods employed by the contributors, and demonstrates the relationships among the chapters.

Each of the chapters demonstrates the gendered nature of the academy and some of the ways in which women, especially women in science, technology, engineering, and mathematics (STEM) disciplines, are disadvantaged. None of them provides complete catalogues of the issues confronting women and none reach definitive conclusions regarding the ways and means of transforming the academy. Additional research and experimentation will be required.

The gender transformation of the academy holds the promise of more opportunities for women, especially but not only in STEM disciplines and higher administration, and greater probability of balance between work and personal life for all.

The chapter serves as an overall introduction to the volume and the subject matter more generally.

The purpose of this paper is to examine the associations of dietary patterns with sociodemographic and lifestyle characteristics in a cardiometabolic risk population.

In this cross-sectional study data from 295 (n=123 men/172 women, 42±16 years) participants in a Cardiovascular Health Care Program were included. After a 24-hour recall interview the dietary patterns were determined using principal component analysis. Sociodemographic, clinical and lifestyle data were collected by medical records.

Subjects with diabetes and hypertension had a higher adherence in the “traditional” pattern (rice, beans, tubers, oils and meats). Poisson regression models showed that male subjects with low schooling and smokers had greater adherence to the “traditional” pattern. Also, students, women, and those with higher schooling and sleeping =7 h/night showed higher adherence to healthy patterns (whole grains, nuts, fruits and dairy). Women, young adults and those with higher schooling and fewer sleep hours had greater adherence to healthy dietary patterns. Those with low schooling and unhealthy lifestyle showed more adherence to the “traditional” pattern.

The results indicate the importance to personalized nutritional therapy and education against cardiometabolic risk, considering the dietary patterns specific to each population.

Socioeconomic and lifestyle characteristics can influence dietary patterns and this is one of the few studies that investigated this relationship performing principal component analysis.

The purpose of this paper is to describe the application of design and behavior science collectively in refining the government to citizens’ (G2C) cognitive-communication by using artificial intelligence (AI) artifacts. It investigates the citizens’ behavior intention to use AI cognitive-communication channels in e-government services.

This study reveals the potential of unification in design and behavior science paradigms when integrated into AI artifacts in measuring the constructive outcome of proposed architecture that embraces the perceived risk and trust in citizens’ usage behavior intentions. To evaluate the practical relevance of design science paradigm, action research was incorporated by developing an app as an exemplified scenario.

The weaknesses of traditional G2C channel communication obliterated by AI virtual agents. This study proposes a five-layer architecture model created with citizens-centered design highlighting the improved relevance for G2C cognitive-communication. The behavior model supports citizens’ usage behavior intentions through trust as a positive attribute and negative attribute as a perceived risk.

This study contributes to the knowledge of design science paradigm particularly to AI-based cognitive G2C communication. The architecture serves for deploying virtual agents to automate the public officials for decision-making processes. The authors have constructed a cognitive-communication model and have examined the relationships among the extents of cognitive-communication model. This channel has the potential to significantly transform G2C cognitive and intelligent communication.

This cognitive-communication channel has the potential to significantly transform the communication between government and citizens. Such a model can be an interest of developers, researchers and government policymakers in a holistic approach drawn from theory and methods of both design and behavior science to create a successful communication scenario.

Advances in technology are not without social implications. The study results can dramatically improve the efficiencies of government workplaces and can augment the human working. It will help to reduce the government services discriminations among the citizens and contribute to society through social inclusion.

This study addresses the duality in information system research by first defining the theoretical framework for G2C cognitive-communication architecture and then developing a research model drawn upon a citizens’ service usage behavioral theory. It will also contribute to providing important perceptions of AI practices in the public sector.