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This paper describes the creation and work of a collaborative learning community, consisting of library staff from a variety of library departments. The purpose of this paper is to build proficiency in using tablet devices and to explore the potential application of tablets to various types of library work.

Data were collected from discussion sessions, journals, and a survey, which documented participants’ experiences in learning how to use tablets and how they applied them to work-related tasks.

The project helped increase participants’ awareness of different types of work across the library, encouraged inter-departmental communication, and provided an open environment for asking questions, trouble-shooting, and sharing tips about using tablets. Participants mastered basic functions and navigation and explored ways to use tablets in their work. Portability was the top advantage of the tablet.

Although participants found tablets to be convenient and portable for some tasks, they are not ready to entirely replace office computers for library work. Laptops remain a more flexible and powerful option at this time.

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.

This study investigates the effect of ownership structure – ownership concentration and firm ownership – on outward foreign direct investment (OFDI) by emerging market multinational enterprises (EMNEs), and further explores the moderating effects of international experience and migrant networks on this relationship.

Data of Chinese MNEs listed on Shenzhen and Shanghai stock exchanges between 2005 and 2016 are used. The empirical analysis is based on the negative binomial regression model.

The empirical results reveal a significant inverted-U relationship between ownership concentration and OFDI by EMNEs. State ownership is found to have a positive effect on OFDI by EMNEs. Both international experience and migrant networks strengthen the inverted-U relationship between ownership concentration and OFDI as well as the positive effect of state ownership on OFDI by EMNEs.

EMNEs need to maintain a moderate ownership concentration when conducting OFDI, and they are supposed to make full use of their own international experience and focus on migrant networks of the host country. Policy-makers in emerging economies need to better create a fair business environment for enterprises.

Combining agency theory and the resource-based view, this study integrates ownership structure, firm-level heterogeneous resources – international experience and country-level heterogeneous resources – migration networks into a framework to study OFDI by EMNEs, which expands the scope of research in international business.

This paper aims to explore employee perceptions of companies engaged in services and banking of the role of change leadership on the application of artificial intelligence (AI) that will impact the performance and work engagement in conditions that are experiencing rapid changes.

This study has used a quantitative research approach, and data analysis uses an approach structural equation modeling (SEM) supported by program computer software AMOS 22.0. A total of 357 respondents were involved in this study, but only 254 were qualified. In this study, the respondent is an employee of companies engaged in the services and banking sector in the East Java, Indonesia region.

The results reveal that AI has a significant positive effect on employee performance and work engagement. Change leadership positively moderates the influence of AI on employee performance and work engagement.

The development of this model has a novelty by including the moderating variable of the role of change leadership because, in conditions that are experiencing rapid changes, the role of leaders is essential. After all, leaders are decision-makers in the organization. The development of this concept focuses on studies of companies engaged in services and banking. Employee performance is an essential determinant in the organization because it will improve organizational performance. In addition, the application of AI in organizations will experience turmoil, so that the critical role of leaders is needed to achieve success with employee work engagement.

Hotels are dependent on information and communication technologies (ICTs) for both their internal management and their relationships with customers and the other stakeholders. Therefore, research on ICTs in the hotel sector has kept growing lately. The purpose of this paper is to offer a review of the literature dedicated to ICTs in hotel management by analyzing papers published in seven prestigious journals in the field of Hospitality Management.

The 147 papers analyzed – published over a 27-year period – have been studied according to a variety of criteria such as their research methods, perspective, statistics used, topics covered, technologies and authors and countries.

The conclusions suggest a promising future regarding both ICT applications for hotel management and research in this area.

Concerning limitations, the most important one stems from the selection of works subject to examination because our analysis dealt with papers published in only seven journals, other publication sources have not been considered. Nevertheless, the present paper can prove useful both for researchers and hotel managers because new trends are emerging in both contexts with regard to technologies themselves as well as to some of their uses.

One of the most important contributions made with this work is the preparation of a list with the topics covered by the papers under examination. Moreover, no studies have to date specifically tried to identify the technologies used in hotel management by means of a literature review.

Coronavirus (COVID-19) has exposed the digital divide (DD) like never before and has made it a hot topic of actuality. In this paper, a state of the art of research studies that dealt with the three levels of the digital divide and highlight its shortcomings in light of COVID-19 are presented.

An integrative literature review was conducted, summarizing the rich literature on the digital divide by presenting its key concepts and findings. This study then provides suggestions for future research in light of the COVID-19 pandemic.

It can be concluded that the digital divide is insufficiently exposed and examined by researchers. In fact, in recent years, very few research studies have focused on the first-level divide. Moreover, much of the literature has analyzed the second digital divide (in terms of e-skills) in the strict sense and at the national level. This review also shows that the existing studies on the third level-digital divide deal only with the individual results of using the Internet. Finally, future research on the three-level digital divide should study more digital inequality related to emerging technologies is proposed.

This paper draws up a state of art, which has important theoretical and practical implications in the effectiveness of full transformation to digitalization.

The present study contributes to digital inequality research by summarizing key concepts and findings from the literature of the three levels of the digital divide. It highlights the unexplored research topics on some dimensions of DD which were behind the digital transformation failure in many countries and provides insights on future research directions in light of COVID-19.

In this conversation, Jon Low explores an array of issues that form a perspective and a set of principles for operating in our intangible asset, knowledge‐based economy. Low’s research has given him cutting‐edge insights as well as a basis for assessing intangibles that make up the bulk of wealth in the new economy. He discusses how decisions are based on non‐financial information, the major and recent change in the world’s wealth, the nine factors of value and how they work in different types of organizations, and trends that will be shaping the next phase of our era. Included are findings and trends derived from Low’s participation in the Brookings Institution’s study, Unseen Wealth.

The relationship between Information and Communication Technology (ICT) and productivity has been widely discussed in the past two decades, but little understood. Since the early 1970s productivity growth in almost all of the world economies has slowed, while expenditure on ICT has risen. This raises the so‐called “productivity paradox” with some economists concluding that there is no relationship between spending on ICT and productivity. The study examines this relationship with time series tools in an attempt to identify whether there is a causal relationship in either direction, or whether there is a third factor affecting both ICT growth and productivity growth. Using the Granger causality procedure applied to Portuguese data from the period 1980‐2000, the paper attempts to understand better the paradox in order to recommend to managers how they might make better‐informed and more effective decisions about ICT investments.

Investments in information systems (ISs) seem to suffer from the productivity paradox. In this article three interpretations of this paradox are explored and a business process (BP) oriented methodology to overcome it is suggested. The final goal is to investigate the relationship between a BP‐competent IS and improved business performance.

Verification of the hypothesis made that BP‐competent ISs have a positive impact on business performance, is expected to be validated by a quantitative research based on a questionnaire survey.

This is a conceptual article that suggests a new BP‐driven methodology to assess IS business value and impact on business performance.

Business process management (BPM) and the software tools that support it (i.e. business process management systems or BPMS) are quite new issues for the Greek business reality, and therefore there might be little evidence on application of such methodologies.

Focusing on the alignment of ISs to BPs helps a company solve misalignment that is due to many independent initiatives and deal with problems that cross‐departmental boundaries. It also prompts a company redirect focus from ISs to BPs and therefore resolve the problems rather than the symptoms. Knowing the positive impact of BP‐competent ISs on business performance makes it possible for an enterprise to realize the importance of pursuing a process‐oriented management style were focus is placed on value‐delivering

The value of the suggested methodology lies in the synthesis of distinct ideas and issues into a unique holistic assessment framework.

Although we observe a general optimism concerning IT’s potential for creating suitable competitive advantages, there exists a lack of empirical support for the positive economic impact of IT on businesses. This is denoted as the productivity paradox of IT. We argue that in situations of hypercompetition, using conventional productivity measures as the only performance indicator would be inadequate when studying the impact IT has. Furthermore, investing in IT does not ensure its proper implementation. Consequently there is a need to consider what companies are using IT for and its consequences for innovation and a variety of performance measures. In a study of 200 firms within the Norwegian IT sector, we found that focusing on the use of IT might be a promising route for studying the relationship between IT and successful innovations, and between IT and performance. We also found a number of trade‐offs between the various performance measures and between successful innovations and performance. Although we were able to find positive effects of IT we argue in favour of developing an information and a knowledge strategy prior to developing an IT strategy