Ryan K.L. Ko, Stephen S.G. Lee and Eng Wah Lee
In the last two decades, a proliferation of business process management (BPM) modeling languages, standards and software systems has given rise to much confusion and obstacles to…
Abstract
Purpose
In the last two decades, a proliferation of business process management (BPM) modeling languages, standards and software systems has given rise to much confusion and obstacles to adoption. Since new BPM languages and notation terminologies were not well defined, duplicate features are common. This paper seeks to make sense of the myriad BPM standards, organising them in a classification framework, and to identify key industry trends.
Design/methodology/approach
An extensive literature review is conducted and relevant BPM notations, languages and standards are referenced against the proposed BPM Standards Classification Framework, which lists each standard's distinct features, strengths and weaknesses.
Findings
The paper is unaware of any classification of BPM languages. An attempt is made to classify BPM languages, standards and notations into four main groups: execution, interchange, graphical, and diagnosis standards. At the present time, there is a lack of established diagnosis standards. It is hoped that such a classification facilitates the meaningful adoption of BPM languages, standards and notations.
Practical implications
The paper differentiates BPM standards, thereby resolving common misconceptions; establishes the need for diagnosis standards; identifies the strengths and limitations of current standards; and highlights current knowledge gaps and future trends. Researchers and practitioners may wish to position their work around this review.
Originality/value
Currently, to the best of one's knowledge, such an overview and such an analysis of BPM standards have not so far been undertaken.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu
The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive…
Abstract
The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.
This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.
The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.
This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.
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Arthur Seakhoa-King, Marcjanna M Augustyn and Peter Mason
Amber K. Hargrove, Carolyn Winslow and Seth Kaplan
Despite the now sizable body of research documenting the importance of emotions and emotion regulation in the workplace, there is relatively little research investigating methods…
Abstract
Despite the now sizable body of research documenting the importance of emotions and emotion regulation in the workplace, there is relatively little research investigating methods for improving emotional well-being in organizations. Moreover, well-being interventions that have been historically predominant in psychology are deficient in a variety of ways. In light of these deficits, researchers in other areas of psychology have begun to investigate the role of self-guided activities in enhancing the positive aspects of emotional well-being and emotion regulation. The purpose of this chapter is to provide an overview of self-guided activities and interventions. To this end, we provide a review and discussion of various theoretical ideas and specific interventions that have been, or could be, adapted into self-guided activities to boost emotions and emotional regulation skills in the workplace. The chapter is meant to provide practical guidance to employers, organizations, and individual employees interested in using self-guided activities to improve well-being and emotion regulation at work.
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Huan Kuang, Huimin Li, Cody Lu and Bo Xu
Demographic characteristics such as race and ethnicity have long been shown to affect individuals' decision-making and can be associated with various behavioral outcomes. In this…
Abstract
Demographic characteristics such as race and ethnicity have long been shown to affect individuals' decision-making and can be associated with various behavioral outcomes. In this paper, we examine the association between the ethnicity of a chief financial officer (CFO) and financial reporting conservatism in a large sample of US public firms. We find that firms headed by CFOs of nonwhite ethnicities exhibit less conservative financial reporting than firms headed by white CFOs; however, this effect is attenuated for firms facing greater external scrutiny. Moreover, nonwhite CFOs in our sample recognize a higher level of discretionary accruals than white CFOs. Our study contributes to the literature on financial reporting and answers the call for more studies on top manager ethnicity effects. More importantly, our findings hold implications for both regulators and investors, given the prevalence and significance of diversity initiatives in today's globalized business environment.
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Social entrepreneurship has played a significant role in reducing unemployment and poverty, fixing other social issues and environmental concerns. Although there is an increasing…
Abstract
Social entrepreneurship has played a significant role in reducing unemployment and poverty, fixing other social issues and environmental concerns. Although there is an increasing concern on social entrepreneurship by the public sector, practitioner and scholars, there are still limited studies on predicting the intention to become a social entrepreneur. Thus, investigating social entrepreneurship intention using a systematic literature review (SLR) approach is crucial due to the lack of systematisation and categorisation in this field. Therefore, this study aims to conduct a SLR to identify the antecedents of social entrepreneurial intention (SEI) used by the previous research. In this sense, this chapter carries out a systematic review of the literature on social entrepreneurship intentions. The review is guided by the PRISMA Statement (Preferred Reporting Items for Systematic reviews and Meta-Analyses). After the identification and screening process, only 56 articles were qualified for further analysis. This SLR focused on articles that are using quantitative research and in the English language published in Scopus. Although there is no limitation in the timeline, the search string results found that the related articles were published between 2010 and 2020. From the thematic analysis, nine main themes were found. The themes are categorised based on the antecedents of SEI used by previous research. There are nine antecedents found: (1) perceived desirability and feasibility, (2) attitude, subjective norms and perceived behavioural control, (3) prior experience, (4) emotional factors, (5) self-efficacy, (6) personality, (7) support systems, (8) skills and competencies and (9) motivational factors. Further analysis of the themes has resulted in ten sub-themes. This chapter's contribution includes offering a clearer picture of the antecedents of social entrepreneurial intention that is still at its infancy stage. Additionally, this chapter managed to identify the research gaps and proposed future research agenda.