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Three major environmental changes are taking place regarding business-to-business salesforce. The first trend is the marketing discipline's shift from a product-focus to a service-focus. In response, firms are shifting their salesforce from a product-focus to providing integrated products and services or solutions to their customers. The second trend that is affecting salesforce is the enhanced utilization of technology, as technology is being used to handle some selling tasks (e.g., information provisioning). The third trend is globalization that is evolving to a stage where global salesforce originating from different countries is interacting with customers from different countries. This chapter suggests that these three trends are changing salesforce strategy, structure, and processes. The chapter reports on the decline in product-based salesforce, growth in customer-focused and global salesforce, globalization of salesforce, and the broader business and research implications. The shifts are dramatic and for researchers, it will be a new and fertile area of research.

This article attempts to synthesize the contributions of Jagdish Sheth to the discipline. This is done by following the development of the field in various subdisciplines such that one can observe the impact Sheth's thinking has had on the field. This is the career of an “accidental marketer” who started as a social scientist, got interested in buyer behavior, and made his mark in that field. Noticing similarities between organizational buyer behavior and individual buyer behavior, he ventured into that field too. As a visionary, he started developing theories in international marketing in the seventies, which was a popular area that time. Similarly, he published a handbook on Customer Relationship Marketing and worked in the area before it became a major area of emphasis. As a multifaceted person, he has contributed to the practitioners through books and consulting projects. However, this article focuses mainly on his academic contributions including his research, teaching/mentoring, and his philanthropic activities.

Following this introduction, the Chapter 2, “A Note on Knowledge Development in Marketing,” by Amjad Hajikhani and Peter LaPlaca, examines four themes in the development of marketing management knowledge. The discussion initially considers the scientific basis for the marketing discipline, then the academic divide between academic researchers and marketing managers.

Purpose. This chapter discusses the challenges and different strategies to increase skill development for the future workforce.

Methodology. Multiple sources on the topic were studied and reviewed in this chapter. The idea of skill and its development is discussed in the literature review.

Findings. Different nations’ governments have promoted human capital development by providing up-skilling and retraining programs to balance supply and demand. Skills gaps need to be brought to the attention of stakeholders, such as governments, businesses, and the educational system. Teachers, employers, and other stakeholders need to develop strategies and action plans to ensure that the skills gaps are appropriately identified and adequately addressed. These initiatives must be developed with input from various stakeholders.

Practical Implications. The research results would inform the curriculum, incorporating skill development processes tailored to various scenarios. These findings would aid business organisations in crafting skill development programs that address identified skill gaps. Challenges in skill development would be taken into account during course development, and relevant teaching–learning materials would be created. Key stakeholders, such as accrediting organisations, employers, and students, should exert more influence on academic institutions to prioritise societal demands for economic development.

Originality/Value. The uniqueness and significance of this chapter lie in its concise summary of the strategies to tackle the hurdles in skill development.

Purpose: This chapter looks specifically at the sources of economic policy uncertainty in Nigeria, and discusses their impact on the Nigerian economy while drawing implications for Africa. It identifies factors that transmit uncertainty in economic policy in Nigeria and draw implications for other African countries.

Methodology: This chapter uses a literature survey methodology to identify the sources of economic policy uncertainty in Nigeria.

Findings: The identified sources of economic policy uncertainty in Nigeria are: the frequent changes in central bank policy, unexpected changes in government policy, political interference, unexpected fall in global oil price, recession, and unethical practices.

Implications: The implication of the study is that rising economic policy uncertainty in Nigeria can have a significant effect on the Nigerian economy and for connected African countries.

Originality: Previous studies have not examined the sources of economic policy uncertainty in Nigeria.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

Introduction: With many new technologies requiring real-time data processing, cloud computing has become challenging to implement due to high bandwidth and high latency requirements.

Purpose: To overcome this issue, edge computing is used to process data at the network’s edge. Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed. It is used to process time-sensitive data.

Methodology: The authors implemented the model using Linux Foundation’s open-source platform EdgeX Foundry to create an edge-computing device. The model involved getting data from an on-board sensor (on-board diagnostics (OBD-II)) and the GPS sensor of a car. The data are then observed and computed to the EdgeX server. The single server will send data to serve three real-life internet of things (IoT) use cases: auto insurance, supporting a smart city, and building a personal driving record.

Findings: The main aim of this model is to illustrate how edge computing can improve both latency and bandwidth usage needed for real-world IoT applications.