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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

Scholars in the field of higher education take many approaches to apply theory in empirical research. However, this wide array of theoretical applications has prompted confusion among scholars who seek to integrate and understand how theory is situated in higher education research. This chapter explores the conceptualization, application, and visibility of theory in higher education research by presenting discourse from field leaders and discussing methodological definitions of theory, theoretical frameworks, and conceptual frameworks. Additionally, we conducted a summative content analysis of 239 empirical articles from the Review of Higher Education over a 10-year period, with the goal of understanding how theories were framed and applied in a subset of research. We conclude by reiterating the importance of theory in the study of higher education and providing strategies for effective theory application.

This study aims to develop the first Theory of Technological Response and Progress in Chaos (TRPC) and examine the case of technological development during the COVID-19 pandemic. The research objectives of this study were to: identify the key technologies that act as a response mechanism during the chaos event, specifically in the case of COVID-19; examine how technologies evolve, develop and diffuse in an immediate crisis and a chaotic environment; theorise various types and periods of technological response and progress during the emergence of chaos and the stages that unfold; and develop policy-oriented recommendations and establish technological foundations to address subsequent chaos events.

This study used the grounded theory as a methodology with a mixed-method approach that included quantitative and qualitative methods. The authors used the quantitative method to assist with the qualitative step to build the TRPC theory. Accordingly, this study integrated machine learning and text mining approaches to the qualitative data analysis following the steps of the grounded theory approach.

As a result of the TRPC theory development process, the authors identified three types of technologies (survival, essential and enhancement technologies) and five types of periods (stable, initial, survival-dominant, essential-dominant and enhancement-dominant periods) that are specific to chaos-technology interactions. The policy implications of this study demonstrate that a required technological base and know-how must be established before a chaotic event emerges.

Concerning the limitations of this study, social media data has advantages over other data sources, such as the examination of dynamic areas and analyses of immediate responses to chaos. However, other researchers can examine publications and patent sources to augment the findings concerning scientific approaches and new inventions in relation to COVID-19 and other chaos-specific developments. The authors developed the TRPC theory by studying the COVID-19 pandemic, however, other researchers can utilise it to study other chaos-related conditions, such as chaotic events that are caused by natural disasters. Other scholars can investigate the technological response and progress pattern in other rapidly emerging chaotic events of an uncertain and complex nature to augment these findings.

Following the indications of the OECD (2021a) and considering the study conducted by the European Parliamentary Research Service (Kritikos, 2020), the authors identified the key technologies that are significant for chaos and COVID-19 response using machine learning and text intelligence approach. Accordingly, the authors mapped all technological developments using clustering approaches, and examined the technological progress within the immediate chaos period using social media data.

The key policy implication of this study concerns the need for policymakers to develop policies that will help to establish the required technological base and know-how before chaos emerges. As a result, a rapid response can be implemented to mitigate the chaos and transform it into a competitive advantage. The authors also revealed that this recommendation overlaps with the model of dynamic capabilities in the literature (Teece and Pisano, 2003). Furthermore, this study recommends that nations and organisations establish a technological base that specifically includes technologies that bear 3A characteristics. These are the most crucial technologies for the survival- and essential-dominant stages. Moreover, the results of this study demonstrate that chaos accelerates technological progress through the rapid adoption and diffusion of technologies into different fields. Hence, nations and organisations should regard this rapid progress as an opportunity and establish the prior knowledge base and technologies before chaos emerges.

The authors have contributed to the chaos studies and the relationship between chaos and technological development by establishing the first theoretical foundation using the grounded theory approach, hereafter referred to as the TRPC theory. As part of the TRPC theory, the authors present three periods of technological response in the following sequence: survival technology, essential technology and enhancement technology. Moreover, this study illustrates the evolving technological importance and priorities as the periods of technological progress proceed under rapidly developing chaos.

Given that marketing practitioners often perceive theory as something abstract, with little relevance to their work, the objective is to explain why and how competent application of theory can be highly useful and even lead to competitive advantage.

Conceptualisation and personal interpretation, with real‐world case examples.

Knowledge of relevant theoretical principles, if combined with thorough contextual knowledge and applied in a competent manner, can lead to competitive advantage based on better judgement and decisions.

The arguments and conclusions presented in the paper improve understanding of the potentially vital role of theory in practice, and provide a credible alternative to the common misperception that theory is of little value to the practitioner.

Introduction Operations research, i.e. the application of scientific methodology to operational problems in the search for improved understanding and control, can be said to have started with the application of mathematical tools to military problems of supply bombing and strategy, during the Second World War. Post‐war these tools were applied to business problems, particularly production scheduling, inventory control and physical distribution because of the acute shortages of goods and the numerical aspects of these problems.

In social marketing practice, there is no all-encompassing approach that guides researchers and practitioners to build theory-driven social marketing interventions. While the Co-create–Build–Engage (CBE) process offers a roadmap for marketing application, including outlining when and where social marketing’s eight benchmark principles have been applied, limited practical guidance on how and when theory should be applied is offered. This paper reports one case study demonstrating how theory was applied to deliver a theory-informed well-being behavior change intervention.

This paper proposes and applies a new five-step theory-driven social marketing intervention build process (BUILD) drawn from an extensive base of social marketing research and application. Using a case study method, we showcase how the five-step process was applied to inform the design, build and implementation of a well-being behavior change intervention.

This study proposes a five-step process to build theory-driven social marketing interventions called BUILD: Begin with the objective, Use theory, Initiate program design, Let’s produce and Develop the engagement plan. This study provides a step-by-step and easy-to-follow BUILD process which outlines how social marketers can apply a selected theory to inform program design and implementation.

The BUILD process offers a roadmap to build theory-driven social marketing interventions that include all elements of intervention development, namely, objective-setting, theory evaluation, selection and application, producing the program and planning for program engagement.

This study provides a novel five-step process to help social marketing researchers and practitioners build theory-driven social marketing interventions.

This article reviews all Game Theory (GT) articles published in the three leading US‐based OR/MS journals. The articles were first subdivided into Theory or Applications categories. The Applications papers were subclassified on a five‐point scale ranging from logico‐deductive to bona fide applications. Second, the articles were classified in terms of seven types of research processes used by authors. Next, statistical analyses were performed relating to data from the above two classifications. The findings show that the OR/MS literature on GT is dominated by articles classified as Theory with no direct real world underpinnings and is based on the Ripple process (incrementalism) as a basic research strategy. The accumulation of theory vs. applications papers has been growing exponentially over time and this is also true of the marginal contributions, e.g. those based on the Ripple process. Nevertheless, GT has been found to have a higher percentage of true applications than some other OR/MS subdisciplines. Yet, this percentage is lower for GT than for the total coverage in the above journals.

The purpose of this paper is synthesise social marketing literature over the past fifty years and deliver a set of guiding tenets to propel social marketing’s agenda forward.

Across three strands, this paper amalgamates theoretical and practitioner evidence from social marketing. This synthesis commences with a review, summary and critical discussion of five decades of social marketing research. Across Strands 2 and 3, the authors review 412 social marketing interventions reported across 10 evidence reviews and 238 case studies.

This paper demonstrates social marketing’s use of fundamental marketing principles and capability to achieve behaviour change outcomes. Social marketers have built frameworks and processes that non-profit organisations, government agencies and policymakers seeking to enact change can use. This paper delivers five tenets that summarise the findings of the three strands and delivers research priorities for the next 50 years of social marketing research to drive the field forward.

Drawing on five decades of learning, this paper proposes research priorities that can be applied to refine, recalibrate and future-proof social marketing’s success in making the world a better place.

This paper demonstrates the value of social marketing science and helps bridge gaps between theory and practice, and further strengthens social marketing’s value proposition. This paper provides confidence that money invested in social marketing programs is well spent.

This paper delivers a forward-looking perspective and provides social marketing academics and practitioners with confidence that it can assist in overcoming society’s most pressing issues. The paper encompasses key social marketing literature since it was founded 50 years ago. Five tenets will guide social marketing forward: evidencing marketing principles, operationalisation of processes, principles and activities, implementing systems thinking, creating and testing marketing theory and guiding a new social marketing era.

On many occasions, organizational science research has been referred to as fragmented and disjointed, resulting in a literature that is, in the opinion of many, difficult to navigate and comprehend. One potential explanation is that scholars have failed to comprehend that organizations are complex and intricate systems. In order to move us past this morass, we recommend that researchers extend beyond traditional rational, mechanistic, and variable-centered approaches to research and integrate a more advantageous pattern-oriented approach within their research program. Pattern-oriented methods approximate real-life phenomena by adopting a holistic, integrative approach to research wherein individual- and organizational-systems are viewed as non-decomposable organized wholes. We argue that the pattern-oriented approach has the potential to overcome a number of breakdowns faced by alternate approaches, while offering a novel and more representative lens from which to view organizational- and HRM-related issues. The proposed incorporation of the pattern-oriented approach is framed within a review and evaluation of current approaches to organizational research and is supplemented with a discussion of methodological and theoretical implications as well as potential applications of the pattern-oriented approach.