Search results

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.

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 study aims to examine the influence of international business competence (IBC) on innovation performance of organizations activating in global markets. The study also explores whether ambidextrous organizational culture (AOC) acts as an antecedent of IBC and whether the environmental dynamism affects the IBC–innovation performance relationship.

The authors assessed the hypothesized relationships using data collected from a sample of companies operating in the Norwegian seafood industry. The direct, mediating and moderating effects were tested using partial least squares (PLS) with SmartPLS software application.

The empirical analysis revealed that AOC is positively associated with IBC, while IBC is a significant predictor of innovation performance. The findings also corroborated the proposed mediation effect of IBC, but refuted the moderating role of environmental dynamism.

This study contributes to the international business literature by suggesting that companies equipped with IBC can excel in innovative undertakings and that organizational culture can be effectively leveraged to develop such competences.

Literature survey shows that it is not clear how knowledge management capability (KMC) and ambidexterity capability affect entrepreneurial creativity (EC) and entrepreneurial intensity (EI) promotion. While empirical studies have emphasized the importance of these factors in improving business performance, the cumulative effect and self-reinforcing loops of these factors in improving firm performance have not been identified. In this regard, the study seeks to investigate how to increase the entrepreneurial capabilities of KMC, EI, EC and ambidexterity of food firms to improve their performance.

The method of the present study is applied in terms of purpose and is quantitative in terms of data collection. In order to collect the data, a questionnaire was designed that contained the variables of the conceptual model of the research. This questionnaire was distributed among industrial and academic experts in the Iranian food industry. The method of data collection is an online cross-sectional survey, and the method of data analysis is structural equation modeling using Smart PLS software to analyze the conceptual model.

The present study is cross-sectional survey research that examines the impact of KMC, EC and EI on firm performance by considering the mediating role of organizational ambidexterity. The research study shows a positive impact of entrepreneurial capabilities as KMC, EI, EC and ambidexterity on performance. Accordingly, if a firm builds KMC and fosters EC, it can achieve ambidextrous innovation and thus enhance its EI and performance in the food industry.

This study highlights the knowledge-based view (KBV) in explaining the role of KMC on innovative capabilities and its influence on performance. Research findings shed light on the importance of KMC as a prerequisite for innovation strategy. The study has also established the mediating role of ambidexterity in entrepreneurial value creation. According to the results, small and medium-sized enterprises (SMEs)' performance is positively influenced by entrepreneurial capabilities as KMC, EI, EC and ambidexterity.

This paper gives insights into how SMEs can improve their performance to gain a competitive advantage by developing knowledge and creative ideas in line with entrepreneurial goals. In this regard, the food industry can adopt new strategies to reduce the impact of these challenges to achieve superior performance and competitive advantage.

The purpose of this study is to investigate the value of cloud computing adoption (CCA) as a proxy for information technology (IT) flexibility (ITF) and IT effectiveness (ITE) among Small- and medium-sized enterprises (SMEs) in Jordan.

A research framework with five hypotheses has been developed based on the results of previous studies. Partial least squares-structural equation modeling has been used for data analysis.

The results revealed that elements of ITF in two domains, IT technical resource (connectivity, modularityand compatibility) and IT human resource (IT personnel skills) specific to CCA, were significantly correlated with ITE.

The findings have crucial implications: they contribute to the research community, administrators and cloud computing providers (CSPs) concerning the framework-improved procedure for CCA. The proposed model can enhance the awareness of service providers about why some SMEs accept cloud computing services, whereas actually the same ones having the same type of business do not. In addition, the above providers should enhance their interaction with the SMEs that contributed to the cloud computing knowledge to make a well-organized setting for the CCA, specifically, SMEs need that adopt an on-premise private cloud architecture. Moreover, necessary to determine the challenges in deploying solutions from the perspective of CSPs. The sample has been limited to Jordan respondents.

The research studies about the usage of cloud computing have shown its effects on SMEs today. Also, the different impacts of cloud computing on other sectors are at the center of attention. SMEs could get significant advantages by carefully considering and managing CCA from the ITF and ITE perspective.

To the best of the author’s knowledge, this is the first study to develop a framework for CCA based on the standpoint of ITF in two domains, IT technical resources (connectivity, modularity and compatibility) and IT human resources (IT personnel skills) and effectiveness.

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.