Knowledge management systems usage: application of diffusion of innovation theory

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Khaleel Okour ◽  
Chin Wei Chong ◽  
Fadi Abdel Muniem Abdel Fattah

Purpose The purpose of this study is to investigate the influence of technological antecedents on the usage of decision makers for the implemented knowledge management system (KMS) amongst Jordanian banks. This study extends the investigation by assessing the influence of knowledge or information quality on KMS usage. This study aims to assess whether knowledge or information quality is significantly correlated to system compatibility, relative advantage and complexity (technological antecedents). Design/methodology/approach The study model was developed by using Rogers’ diffusion of innovation (DOI) theory, on which seven hypotheses were developed. To examine these research hypotheses, a self-administered questionnaire was carried out with 341 decision makers who are using the KMS to perform their job-related activities. Structural equation modelling analysis of moment structures software was used for data analysis. Findings The findings revealed that decision makers usage of the implemented KMS’s is affected significantly by relative advantages, system complexity and knowledge quality, but not system compatibility. Moreover, the findings showed that knowledge quality is significantly correlated with DOI technological antecedents. Practical implications Bank managements are now in a better position to understand what kind of resources and supports are needed to achieve the maximum pay-off from KMS usage within their banks. This study has proved that it is not sufficient for Jordanian banks to focus solely on the system quality; they must also take the quality of knowledge or information (system output) as a critical factor that can affect their investments in KMS’s. Originality/value This study is one of the limited conducted studies to investigate the importance of KMS usage and related antecedents in the Arab world; particularly, in the context of the Jordanian banking sector. The findings of this study have contributed to the Jordanian financial sector for its vital evaluation of the KMS actual usage behaviour. Findings can be used by the Jordanian ministry of finance to improve the understanding of the factors influencing KMS usage in the financial sector. This study has contributed to reducing the gap of DOI literature amongst developed and developing countries, particularly in the Jordanian context.

2021 ◽  
Vol 23 (2) ◽  
pp. 154-170
Author(s):  
One-Ki Daniel Lee ◽  
Ramakrishna Ayyagari ◽  
Farzaneh Nasirian ◽  
Mohsen Ahmadian

PurposeThe rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption. Design/methodology/approachThe authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach. FindingsThe results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs. Originality/valueThis research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs. Contribution to Impact


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Wasef Abuezhayeh ◽  
Les Ruddock ◽  
Issa Shehabat

Purpose The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP. Design/methodology/approach A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews. Findings The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance. Originality/value Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.


10.28945/3891 ◽  
2017 ◽  
Vol 12 ◽  
pp. 309-335 ◽  
Author(s):  
Shamsudeen Ladan Shagari ◽  
Akilah Abdullah ◽  
Rafeah Mat Saat

Aim/Purpose: The purpose of this study is to investigate the interrelationship among the quality measures of information system success, including system quality, information, quality, and service quality, that eventually influence accounting information systems effectiveness. Background: It is generally believed that investment in an information system offers opportunities to organizations for business process efficiency and effectiveness. Despite huge investments in accounting information systems, banks in Nigeria have not realized the full potential benefits of using these systems because of persistent failures. Few studies have been conducted to address the problem. Methodology: A survey research design was used to collect data, and a total of 287 questionnaires were retrieved from respondents in the Nigerian banking sector. Contribution: This study contributes to the understanding of the most important antecedent factors of the quality measures, the interrelationship among the quality measures, and the influence of these measures on the accounting information systems effectiveness. Findings: The result of the study revealed that security, ease of use, and efficiency are key features of system quality, while the information quality dimension includes accuracy, timeliness, and completeness. The result of the study further revealed that information quality and system quality have significant influences on accounting information systems effectiveness. Recommendations for Practitioners: This study provides practitioners with important measures for evaluation of AIS effectiveness in the context of Nigerian banks. Recommendation for Researchers: Future researchers may build on the findings of current study to conduct fur-ther research in the area of AIS effectiveness in different contexts. Future Research: This study examines only three quality measures of Delone and Mclean model and antecedents of information and system quality measures, neglecting contingency factor. Therefore, future study should include other factors to the AIS effectiveness model to help in developing more specific theory in AIS domain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shavneet Sharma ◽  
Neale Slack ◽  
Kritika Devi ◽  
Tuma Greig ◽  
Samantha Naidu

PurposeWith the increasing popularity of online games like Pokémon Go, a new wave of crowdsourcing communities have emerged, allowing gamers to collaborate, communicate and share useful game-related information. This paper aims to examine the factors that influence gamers' crowdsourcing behaviour.Design/methodology/approachA conceptual framework is developed that combines the DeLone & McLean model, self-determination theory, and different levels of engagement behaviour. The online survey collected 371 responses that were analysed using Covariance Based Structural Equation Modelling (CB-SEM).FindingsThe results show that extrinsic and intrinsic motivation positively influenced gamers' crowdsourcing engagement intention. System quality and information quality were also confirmed to be positively associated with gamers' crowdsourcing engagement intention. Furthermore, crowdsourcing engagement intention was found to be positively associated with crowdsourcing content consumption, contribution, and creation.Practical implicationsThe findings of this study are useful for the owners of Pokémon Go and other gaming-related crowdsourcing platforms in devising tailored strategies to increase the crowdsourcing engagement of gamers.Originality/valueThis study provides the first empirical evidence of factors motivating online gamers' crowdsourcing intention. This study also presents novel insight into online gamers' crowdsourcing intention by combining diverse theories which offer different perspectives and a more comprehensive understanding of the phenomenon. Contribution to the research on the intention-behaviour gap by modelling three behavioural outcomes (content creation, contribution, and consumption behaviour) of crowdsourcing engagement intention, is another important contribution of this study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John M. Sausi ◽  
Erick J. Kitali ◽  
Joel S. Mtebe

Purpose This study aims to adapt the updated DeLone and McLean model to evaluate the success of the local government revenue collection and information system (IS) implemented in Tanzania. Design/methodology/approach The study used a concurrent mixed research design integrating quantitative and qualitative data within a single investigation. A total of 296 users from local government authorities (LGAs) in 5 regions in Tanzania participated in the study. Findings The study found that the system quality and information quality had a significant positive impact whilst service quality and trust in the system had a significant negative effect. In contrast, facilitating conditions did not have an effect whatsoever. The findings from the open-ended questions and implications of the findings are discussed. Originality/value The findings from this study will help LGAs understand the factors that affect the success of the ISs in developing countries. The results indicate that in addition to information technology attributes, building trust in the system is crucial to foster user satisfaction and increase the public value of the systems.


2020 ◽  
Vol 120 (5) ◽  
pp. 963-985 ◽  
Author(s):  
Abul Khayer ◽  
Yukun Bao ◽  
Bang Nguyen

PurposeThis study aims to investigate the determinants of successful implementation of cloud computing and, further, examines how cloud computing success influences firm performance.Design/methodology/approachThe authors developed a conceptual framework based on the integration of several strands of literature in business studies and information systems. To test the proposed model, data were collected from 300 Chinese firms which have adopted cloud computing. To analyze the data, partial least squares structural equation modeling (PLS-SEM) was used. An importance-performance map analysis (IPMA) was also conducted to identify the critical factors that exhibit high importance but low performance.FindingsThe results of the study revealed that end-user satisfaction, information quality, system quality, managerial information technology (IT) capability and technical IT capability significantly affect cloud computing success. Additionally, cloud computing success has a strong and positive impact on firm performance. IPMA further confirms that managers need to concentrate more on system quality, information quality, user satisfaction and technical IT capability.Originality/valueThis paper is one of the few attempts to integrate several theoretical frameworks (i.e. IT capabilities and resource-based view, expectation-confirmation theory, and information system success theory) to develop a comprehensive model for understanding the key determinants of cloud computing success and its impact on firm performance. This study makes a useful contribution to the conventional information systems (IS) literature and IT management practice.


Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.


2018 ◽  
Vol 9 (1) ◽  
pp. 94-108 ◽  
Author(s):  
Hamid Rizal ◽  
Soffri Yussof ◽  
Hanudin Amin ◽  
Ku Chen-Jung

Purpose Drawing from DeLone and McLean’s Theory of Information System Success, this study aims to develop a theoretical model of electronic word of mouth (eWOM) for the homestay lodging. Design/methodology/approach The study examines the relationship between information quality, system quality and electronic service quality towards user’s satisfaction and eWOM intentions. Data were collected from homestay lodgers in Malaysia. Findings Results indicate that the effects of information quality and e-service quality on satisfaction are of significance, in turn affects eWOM intention. System quality, however, is not a driver of satisfaction. Research limitations/implications This study contains three limitations that provide direction for future studies. The details are provided. Practical implications The results provide a direction to the service providers at improving their services for customers’ satisfaction and loyalty. Originality/value The study offers fresh new insights on eWOM intentions from a homestay lodging perspective in Malaysia.


2019 ◽  
Vol 23 (6) ◽  
pp. 1105-1135 ◽  
Author(s):  
Anirban Ganguly ◽  
Asim Talukdar ◽  
Debdeep Chatterjee

Purpose Knowledge sharing has become an integral part of organizations’ business strategies, along with aiding organizations to grow and innovate in the market, and gain competitive advantage. This paper aims to concentrate on the role of tacit knowledge sharing in fostering innovation capability of an organization. Specifically, the study considers social capital (relational, cognitive and structural) as an important precursors to tacit knowledge sharing, which in turn, influences innovation capability of an organization. The study further discusses the role that knowledge reciprocation plays in successful tacit knowledge sharing. The relation between knowledge quality and innovation capability is also discussed in the paper. Design/methodology/approach The investigation started with a review of extant literature in the field of knowledge sharing and innovation to derive a set of constructs. A set of hypotheses was developed based on the identified constructs, which was subsequently validated through a primary survey based on a structured questionnaire on a sample size of 190 respondents from the Indian industrial domain. The survey responses were subsequently analysed using the statistical technique of structural equation modeling and conclusions were drawn from the findings. Additionally, careful attention was paid in eliminating the common method bias, which is often associated with a primary survey. Findings A set of six hypotheses were derived based on the identified constructs and were subsequently validated. While validating the hypotheses, it was observed that while knowledge reciprocity, relational social capital and cognitive social capital was positive associated with tacit knowledge sharing, structural social capital did not have a significant effect on the same. Additionally, it was also observed that both tacit knowledge sharing and the quality of knowledge were positively associated with innovation capability. Practical implications The present day business marked by intense competition requires firms to be more aware of their innovative capabilities. Effective sharing of knowledge or information can be deemed as a vital component in achieving this objective. Organizations that practice and nurture innovation activities can use the findings of the current study as a part of their knowledge management strategy. In addition to using the explicit knowledge, which are structured in nature, organizations can also start using tacit knowledge to harness their innovation potential – and the findings from the current study can act as a motivational tool for them to do so. Originality/value Although there is a growing body of literature concerning the role of knowledge management in innovation, there still a dearth in discussing the role of tacit knowledge sharing in exploiting the innovation capability of an organization. The main discussion of this paper brings together a set of important constructs that exhibits the significant role that tacit knowledge sharing plays in determining the innovation capability of an organization. Furthermore, it tries to marry the concepts of social capital and tacit knowledge sharing with innovation capability, therefore adding significantly to the body of literature in knowledge management as well as innovation.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laila Al-Omairi ◽  
Hosam Al-Samarraie ◽  
Ahmed Ibrahim Alzahrani ◽  
Nasser Alalwan

PurposeIn any developing country, the critical benefits for ensuring proper utilization of e-government learning services have basically emerged from the integration of underlying processes – not only across different levels of government but also across different functions and agencies. The literature showed a notable lack of research to underline the limited use of e-government learning services in a university setting. Therefore, this study was conducted to examine students' intention to adopt e-government learning services in a developing country. Precisely, the existent to which reputation, social influence, information quality and system quality of e-government learning services would influence students' trust, perceived usefulness and perceived learning values was investigated.Design/methodology/approachThe effect from these variables on students' intention to use e-government learning services was also investigated. A total of 406 questionnaires were collected and analyzed using partial least squares (PLS) modeling.FindingsThe results showed varying relationships between the study's variables. It is anticipated that understanding these relationships can predict future learning trends of e-government learning services use among university students, thus helping decision makers plan ahead, prioritize tasks and make better decisions.Originality/valueKnowledge about students' intention to use e-government learning services is even useful for the implementation of other services by higher education institutions. This study also offers some implications for practitioners and researchers concerned about the application of e-government in students' learning development.


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