Search results

The prevalence of crises is a real phenomenon that demands proper planning and implementation of measures to preempt and curb its consequences on both national economies and business operations. Crisis is one of the concepts that cannot be overlooked, pervasive in nature, and does not necessarily denote negativity. Crisis is no longer an unusual, arbitrary, or minor characteristic of today's business environment. As far as the business environment continues to be volatile and unpredictable, it is unlikely that business organizations would be free from crises. Crises are noted to be a vital part of a business context and can serve as an avenue for positive change and creativity if the right tools and techniques are employed to properly manage them. On the other hand, crises can jeopardize the continued existence of the organization and obstruct the achievement of its goals. Thus, the debilitating ramifications of crises on business growth, survival and overall success calls for adoption of sustainable crisis management approaches in this new business world order that is framed by Industry 5.0, digitalization, and green business practices. The primary purpose of this article is to establish how modern crisis management methods could lead to sustainable organizational development. The current study departs from existing studies in the literature by systematically presenting methods to anticipate, solve, and transform business crises into advantage. The chapter also throws light on how organizations should manage business crises that may well be accelerated by Industry 5.0 and its components; digitalization and sustainable development.

Systems thinking calls for a shift of our mindset from seeing just parts to seeing the whole reality in its structured dynamic unity and interconnectedness. Systems thinking fosters a sensibility to see subtle connections between components and parts of reality, especially the free enterprise capitalist system (FECS). It enables us to see ourselves as active participants or partners of FECS and not mere induced factors of its production–distribution–consumption processes. Systems thinking seeks to identify the economic “structures” that underlie complex situations in FECS that bring about high versus low leveraged changes. A system is strengthened and reinforced by feedback of reciprocal exchanges that makes the system alive, transparent, human, and humanizing.

In Part I, we explore basic laws or patterns of behaviors as understood by systems thinking; in Part II we examine the basic archetypes or structured behaviors of systems thinking; in both parts we strive to see reality through the lens of critical thinking to help us understand patterns and structures of behavior among systems and their component parts. In conclusion, we argue for compatibility and complementarity of critical thinking and systems thinking to identify and resolve management problems created by our flawed thinking, and sedimented by our wanton assumptions, presumptions, suppositions and presuppositions, biases, and prejudices. Such thinking will also identify unnecessary economic and political structures of the self-serving policies we create, which imprison us.

The purpose of this chapter is to provide a comprehensive analysis of how sentiments may be a part of, or adjacent to, status generalization. We demonstrate why this problem is so difficult to solve definitively, as many resolutions may exist. Sentiments may present the properties of graded status characteristics but may also be disrupted by processes of the self. Sentiments may have status properties enacted within dyadic interactions. However, sentiments may also be status elements during triadic constellations of actors. Finally, we discuss current research that is underway to provide more empirical evidence to offer confirmation or disconfirmation for some of our proposed models.

We provide a synthesis of literatures, including pieces from group processes, neuroscience, psychology, and network scholarship, to address the relation between sentiment and status processes. Accordingly, this is a conceptual chapter.

We attempt to motivate future research by exploring the many complications of examining these issues.

Understanding how social inequalities may emerge during group interaction allows researchers to address their deleterious effects. Positive sentiments (in other words, “liking”) should bring actors closer together to complete tasks successfully. Ironically, when paired with negative sentiments within task groups, inequalities in group opportunities may result. To address these social inequalities, a thorough understanding of how they develop is necessary, so that efficacious interventions can be adopted.

This deep dive into the relation between sentiment and status processes joins the 25-year quest to understand the issues surrounding this relationship.

Now and again the discourse of women's violence being ignored and minimised emerges, but what is already known about this subject? Within the domestic abuse literature, there appears to be a weighty discord between Violence Against Women and Girls (VAWG) and family conflict researchers. Both groups present very distinct findings regarding the motives and prevalence of women's use of violence. This theoretical chapter aims to provide an historical and contemporary grounded overview of how women's use of violence in domestic abuse incidents has been depicted in the literature within these two groups of researchers (VAWG and family conflict). This analysis will be especially focussed on the underlying rationale behind women's violence and its prevalence and impact.

There is a research gap in the explanation of cyber incident response approaches in management to increase cyber maturity for small–medium-size enterprises (SMEs). Therefore, based on the literature analysis, the chapter aims to (1) provide cyber incident response characteristics, (2) show the importance for SMEs, (3) identify cyber incident response feasibility and causal factors, (4) provide scenarios for consideration to create an incident response plan (IRP), and (5) discuss the cyber incident response and managerial approaches in SMEs. The authors used content analysis of scientific and professional articles to develop the theoretical foundation of incident response approaches in management for SMEs. The authors start from the fundamentals to obtain knowledge and understanding of the latest threats and opportunities, and how to defend themselves using the limited capacity of resources might be the starting point to building an extensive incident response capability. Incident response capabilities and maturity levels vary widely between various organisations. There is no simple one-size-fits-all process for incident response; each case is unique and requires continuous refinement. Differentiation and adaptation to different types of SMEs are pivotal to developing cyber maturity and defining requirements that fit the market’s needs and are therefore more efficient in achieving the goal of increasing cyber security (CS) among business management. SMEs may not have a mature IRP, but at least one readiness indicator could lead to the preparation of a mature IRP. Implementation of the secure undertakings and information processes requires using modern information and communication technologies, incident response processes, and other modules that could enhance support for decision-making processes in management. The approach requires a systematic approach to issues related to constructing these solutions. The authors highlight that building efficient incident response approaches in management to improve cyber maturity will begin with infrastructure and people factors.

The COVID-19 crisis has forced the majority of higher education institutions (HEIs) worldwide to transition to distance education. All countries have faced several challenges, such as the deteriorating economy, poor ICT infrastructure, and insufficient training, in their transition to distance education, with the severity of these challenges being remarkable for developing countries. This chapter aims to investigate tertiary students’ perceptions, attitudes, experiences, and expectations of their higher education journey amid COVID-19 across four developing countries: Lebanon, Afghanistan, Pakistan, and Bangladesh through an online questionnaire that was administered in each of these countries. This study found that many of the stances, attitudes, concerns, and challenges related to online learning experiences and the emergency status of higher education were common amongst the Lebanese, Afghani, Pakistani, and Bangladeshi participants. The participants across the four countries favored the physical classroom over online learning and identified the disadvantages of distance education that included lack of ICT skills, poor infrastructure, and insufficient training. The few differences that were identified across participants from these countries were mainly attributed to differences in contexts, including socio-economic and political contexts. These findings voice the concerns of one of the key stakeholders, tertiary students, that address the transition to distance education during emergency times and call for immediate intervention from decision and policy-makers.

Several inferential procedures are advocated in the literature. The most commonly used techniques are the frequentist and the Bayesian inferential procedures. Bayesian methods afford inferences based on small data sets and are especially useful in studies with limited data availability. Bayesian approaches also help incorporate prior knowledge, especially subjective knowledge, into predictions. Considering the increasing difficulty in data acquisition, the application of Bayesian techniques can be hugely beneficial to managers, especially in analysing limited data situations like a study of expert opinion. Another factor constraining the broader application of Bayesian statistics in business was computational power requirements and the availability of appropriate analytical tools. However, with the increase in computational power, connectivity and the development of appropriate software programmes, Bayesian applications have become more attractive. This chapter attempts to unravel the applications of the Bayesian inferential procedure in marketing management.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.