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This study aimed to examine the relationship between customer relationship management (CRM)-based library services and head librarians' personal and academic variables. The status of CRM-based library services in the university libraries of Pakistan was also assessed.

A cross-sectional survey research design and quantitative research approach were applied. A structured questionnaire was emailed to the heads librarians of all university libraries recognized by the Higher Education Commission of Pakistan, and the response rate was 74 percent.

The analysis showed that a relationship to CRM-based library services was confirmed by the head librarians' age, academic qualification, professional experience, CRM awareness and training. Moreover, several CRM-based library services such as face-to-face interaction, current awareness services, orientation for new users, coordination through e-mail services, special goodwill to regular users, make telephone calls, complaints/suggestions boxes, online services, provision of a conducive learning environment, user education, selective dissemination of information services, users' participation in the collection and service development, ask a librarian services and users' help desk services were currently being practiced by the university libraries.

This study is a valuable resource for developing user-centered library services and culture. Findings are helpful in enhancing CRM applications in libraries and making their users satisfied and loyal. This study makes a significant contribution to the body of literature and knowledge on library CRM.

Despite the wide recognition of enterprise resource planning’s (ERP’s) multiple uses, little research has examined the internal forces that influence success after ERP implementation in the service industry. This study aims to identify the factors influencing post-implementation ERP capabilities (PERPC) and improving post-implementation sustainability and user satisfaction (PERPSUS). Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are used for this, with advance managed outsourced solutions (AMOS) and an entanglement view of all firm ERP users.

A theoretical model is created to explain internal organizational factors impacting post-implementation ERP sustainability and user satisfaction. Data were collected from 152 executive ERP users in two organizations in the UAE. Two CFA models were created.

The results show that adoption by internal organizational forces leads to more sustainable post-implementation ERP. A 69 per cent variance in user satisfaction and post-implementation ERP sustainability was found through a PERPC model and its dimensions, which are significantly highly correlated.

ERP professionals and stakeholders believe that identification of ERP capabilities (ERPCs) and user satisfaction must be multi-dimensional.

CIOs and ERP professionals could use these results to increase the success of ERP in the service industry, and they can support the inclusion of post-implementation ERP practices.

Using AMOS, this paper explores the role of ERPCs in system sustainability and user satisfaction in the service sector, utilizing stakeholder perspectives and an entanglement view of ERP users in the service industry.

Many organizations still struggle with sales force technology implementation because of low user adoption rates. The ubiquity of mobile computing devices, such as smartphones and tablets, and the proliferation of mobile customer relationship management (mCRM) applications, may lead to increased CRM adoption and higher returns on CRM technology investments. The purpose of this study is to attempt to extend the current literature by developing a model of mCRM antecedents and outcomes by incorporating the idiosyncratic mCRM characteristics that have not yet been examined in the sales technology literature.

This research utilizes the technology acceptance model and the technology-to-performance chain as the foundation of a conceptual model of the drivers and outcomes of mCRM adoption.

This conceptual study provides several contributions to both the sales technology literature and to practitioners within sales organizations. The proposed conceptual model outlines the benefits of providing mCRM capabilities to sales professionals. These benefits include increased productivity, sales activity and collaboration among both internal stakeholders (management and peers) and external stakeholders (prospects and customers).

Despite the increased use of mobile applications in sales, research on this particular form of technology is limited, and sales researchers have yet to examine mCRM or its relationship to sales performance. Therefore, the purpose of this research is to forward a conceptual model that allows researchers to explore the drivers of mCRM use and how mCRM influences individual and organizational-level outcomes.

The purpose of this paper is to describe how formal verification strategies have been utilized to assess the correctness of Knowledge Creation Process (KCP) in the social systems. This paper analyzes a User Relationship Management (URM) approach in term of human behavior connection in the social systems. A formal framework is displayed for the URM which consolidates behavioral demonstrating strategy.

Evaluating the human behavior interactions is an important matter in the social systems. For this analysis, formal verification is an essential section in the complex information systems development. Model checking results satisfied the logical problems in the proposed behavior model analysis.

Model checking results represent satisfaction of the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported KCP conditions. Also, the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions.

The model checking results show that the proposed URM mechanism with supporting the KCP conditions satisfies comprehensively behavioral interactions rather than the mechanism without KCP conditions in the social networks.

User perceptions of organisational dimensions which may impinge upon the successful implementation of information systems are here measured, and those perceptions related to system use. Research data from 84 users of marketing information systems in 33 companies were collected. Overall perceptions were quite favourable, but problems regarding data accessibility, lack of training and disputes between users and systems personnel were seen by user‐managers. However, an information system is seen to be a source of power for users, and one which enhances their power vis‐à‐vis other sub‐units.

This study examines the role of user psychological empowerment (PE) as a specific type of PE in the context of using health information systems (HIS) and incorporates the contribution of autonomous motivation and knowledge sharing intention (KSI) to the resolution of the key dynamics of interpersonal knowledge sharing behavior (KSB) in healthcare organizations.

For the data analysis, survey data were collected from 350 employees at three large teaching hospitals in Taiwan. In this study, the partial least squares technique was used with SmartPLS 3.3 software to validate the research model.

User PE had significant positive effects on autonomous motivation, KSI and KSB. Additionally, autonomous motivation positively affected KSB directly and indirectly via KSI.

Insights into motivation (e.g. user PE and autonomous motivation) play a key role in driving KSI and lead to effective KSB, which aids managers in tailoring their efforts to foster knowledge dissemination and enhance organizational performance.

While finding ways to encourage employees to share knowledge with one another in an organization is an important task, there exists a lack of understanding as to how this task can be accomplished in the context of healthcare organizations. This study is the first to specifically address this issue from a perspective integrating PE and self-determination theory while also incorporating the HIS context with population-specific measures (healthcare organizations) to expand the application of empowerment theory to the information system domain.

This paper aims to explore the management strategies of facility managers and corporate real estate managers to align corporate real estate (CRE) with the needs of their organization and the end users in a changing context.

The paper first outlines the theoretical issues of CRE alignment processes and the management of accommodation needs. It then presents the findings from a multiple case study in 14 Dutch Universities of Applied Sciences (UAS) from the perspective of the CRE/facility management (FM) manager. The empirical study is based on interviews and a questionnaire.

The theory shows three key process activities in managing the alignment of CRE with the needs of end users and the organization as a whole: coordination, communication and decision-making. The way organizations manage these process activities can be represented by eight opposite perspectives. These eight perspectives refer to two management strategies for CREM departments: an involvement-oriented strategy and a control-oriented strategy.

The distinguished eight management perspectives and two management strategies can be used by CRE/FM managers to reconsider their current approach for aligning CRE with the needs and requirements of the client, customers and end users. This is to improve the match between demand and supply to find future-proof accommodation solutions.

CREM issues and the effect of CRE on students and staff and vice versa is an underexposed topic in research in the field of higher education. There is still limited understanding of how to optimally align school buildings with education. The current study combines insights from other disciplines such as management and organization and information technology-alignment with insights from CREM theory.

The purpose of this paper is to elucidate the concept of user development which consists of proactively transferring knowledge to potential users of IT innovations in order to increase the likelihood of innovation adoption and diffusion.

An exploratory approach was adopted using three case organizations representing different sectors. These organizations represent the public, the semi-government, and the private sectors.

The findings show that proactive knowledge transfer builds the requisite absorptive capacity of users to understand, adopt new and complex systems and technologies, and effectively integrate them into their organizations, hence increasing their likelihood of adopting such innovations. The findings also show that effective user development hinges on proper selection of potential users and on goals alignment between the innovating firm and the selected users.

The framework could be further refined through more diverse case studies from a broader range of companies. Survey-based investigations are also needed to operationalize the constructs and explore its effects on the performance of the innovating firm. In practice, innovation managers should be more proactive by recognizing the value of knowledge transfer when it comes to expanding and accelerating the adoption and diffusion of their innovations.

This paper illustrates the importance of proactive knowledge transfer, especially in situation that call for absorptive capacity building. This paper also opens new opportunities for innovation managers to sell their innovations faster and to a wider market, and perhaps even altering the trajectory of particular innovations.

COVID-19, a causative agent of the potentially fatal disease, has raised great global public health concern. Information spreading on the COVID-19 outbreak can strongly influence people behaviour in social media. This paper aims to question of information spreading on COVID-19 outbreak are addressed with a massive data analysis on Twitter from a multidimensional perspective.

The evolutionary trend of user interaction and the network structure is analysed by social network analysis. A differential assessment on the topics evolving is provided by the method of text clustering. Visualization is further used to show different characteristics of user interaction networks and public opinion in different periods.

Information spreading in social media emerges from different characteristics during various periods. User interaction demonstrates multidimensional cross relations. The results interpret how people express their thoughts and detect topics people are most discussing in social media.

This study is mainly limited by the size of the data sets and the unicity of the social media. It is challenging to expand the data sets and choose multiple social media to cross-validate the findings of this study.

This paper aims to find the evolutionary trend of information spreading on the COVID-19 outbreak in social media, including user interaction and topical issues. The findings are of great importance to help government and related regulatory units to manage the dissemination of information on emergencies, in terms of early detection and prevention.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.