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In electronic commerce, businesses require to integrate two kinds of activities – ones that are embedded into the physical value chains and the others that are built through information into the virtual chain. Although the relative importance of these two kinds of chain depends on the characteristics of the products and services, their integration, nevertheless, plays a critical role in the success of e‐commerce. In e‐commerce, more and more value chain activities are conducted electronically, therefore, businesses should understand the implication of the virtual value chain activities. The virtual chain offers a number of distinct advantages over the physical value chain. Some of these advantages lie in forging alliances between customers and manufacturers, advertising products and services selectively with effects of audio, video, and graphics, and saving time and money in efficiently processing customer orders and enquiries. Besides, e‐commerce offers flexibility in option pricing and customization of products and service, by reducing the constraints of time and space.

The purpose of this paper is to present a model that tests the relationship between information technology (IT) infrastructure, customer focus, and business advantages.

Customer focus is categorized into: customer responsiveness and product/service innovation. The data for the study are obtained from 116 executives from a number of business organizations.

IT infrastructure is found to have a significant effect on customer responsiveness, but does not show any significant relationship with product/service innovation. IT infrastructure, customer responsiveness, and product/service innovation are found to be significantly related business advantages.

The research is useful for academic scholars and managers as the results of the study show the value of firm‐specific resources such as IT infrastructure in business advantages. The research is also useful as it finds support for the resource‐based view (RBV) of the firm.

The paper exemplifies how IT infrastructure can influence customer focus and thus affects directly and indirectly business advantages.

The purpose of this paper is to investigate the relationship between total quality management (TQM) practices and quality performance in Indian service companies.

The empirical data was collected using a self‐administered instrument that was distributed to 600 Indian service companies. Of the 600 instrument e‐mailed, 172 usable instrument were returned, yielding a response rate of 28.6 per cent. A stratified sampling procedure was utilized to obtain the minimum sample size of 600 from the four chosen service industries (i.e. Healthcare, Banking, Information and Communication Technology (ICT), and Hospitality). The data was analyzed using factor, Pearson's correlation, and multiple regression analyses.

The findings revealed that TQM practices were found to be partially correlated with quality performance of the Indian service companies. It was also found that quality culture was perceived as the dominant TQM practice in quality performance. The other practices such as quality systems, training and education, teamwork, and benchmarking showed a positive relationship with quality performance.

The research paper was limited by including only four industries in the selection of service companies in India, making this a possibly biased selection and it may not be adequate to generalize the results for the entire Indian service companies.

The study has contributed to the TQM literature with a better understanding of the 17 TQM practices and their association with a company's quality performance that will provide valuable knowledge to top‐management of service companies, to refine their current TQM practices and subsequently improve quality performance.

This chapter presents an analysis illustrating the evolution of information systems’ development based on three interdependent phases. In the first period, information systems were mainly considered as a strictly technical discipline. Information technology (IT) was used to automate manual processes; each application was treated as a separate entity with the overall objective of leveraging IT to increase productivity and efficiency, primarily in an organizational context. Secondly, the introduction of networking capabilities and personal computers (instead of fictitious terminals) has laid the foundations for a new and broader use of information technologies while paving the way for a transition from technology to its actual use. During the second phase, typical applications were intended to support professional work, while many systems became highly integrated. The most significant change introduced during the third era was the World Wide Web, which transcended the boundaries of the Internet and the conventional limits of IT use. Since then, applications have become an integral part of business strategies while creating new opportunities for alliances and collaborations. Across organizational and national boundaries, this step saw a transformation of IT in the background. These new ready-to-use applications are designed to help end-users in their daily activities. The end-user experience has become an essential design factor.

According to the importance of strategic purchasing as an effective tool for resource allocation and service procurement, this study examines national laws, regulations and other related documents related to the strategic purchasing of health services related to the advanced medical equipment in Iran.

It was a national qualitative document analysis conducted in 2019 applying content analysis approach. The four-step Scott method was used to include the documents in terms of authenticity, credibility, representation and meaningfulness. After retrieving the related documents, they were coded with the implicit and explicit approach. MAXQDA₁₀ was used for content analysis.

The findings show that according to the framework of effective factors on the strategic purchasing of health services, seven main factors are determined as the main essential factors in purchasing advanced medical equipment. These factors consist of health care providers, health service buyers, purchaser and service provider contracts, payment mechanisms, organization and management evaluation of health technology including expensive medical equipment and technology-related.

The study had some limitations as follows: the proposed method should be tested and its feasibility has to be investigated through appropriate tools for Iranian insurance companies and those with the similar settings.

The results of this study can shed more light for policy makers affiliated in Ministry of Health as the main service provider, Ministry of Welfare and the insurance agencies as the main purchasers of health services on paying attention to these seven main themes extracted from the upstream documents and laws and regulations of the Islamic Republic of Iran.

The strategic purchasing of expensive high technology-based medical equipment is a necessity for Iranian public health insurance organizations that is emphasized in national documents in the way of implementing this necessity.

This study examines all the laws and regulations and all related documents in the strategic purchasing of health services related to advanced medical equipment, giving an analysis of the most important challenges and requirements of implementing strategic purchasing in the health services provision sector with expensive medical equipment.

This chapter departs from a specific Swedish perspective on structural changes which took place during the 1990s in Sweden. Before this period Sweden had a long period of improving democracy at work. From the start of the 1990s a number of structural changes were – according to national surveys – associated with increasing psychological demands at work. According to the same sources this was followed during the three last years of the 1990s by a reduced decision latitude. The prevalence of work-related psychological problems started to rise when decision latitude started to decrease. A discussion of concepts related to work democracy is followed by a review of the literature on work democracy and health. Finally, strategies for improving democracy and possible health promoting effects of such improvement are discussed.

The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.

This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.

AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.

AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.

This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.