Khalid Abed Dahleez and Fadi Abdelmuniem Abdelfattah
This study proposed and tested a model on the relationship between transformational leadership (TL) and organizational performance (OP) with a possible intervening effect of…
Abstract
Purpose
This study proposed and tested a model on the relationship between transformational leadership (TL) and organizational performance (OP) with a possible intervening effect of market orientation (MO) at Omani small and medium enterprises (SMEs).
Design/methodology/approach
The study followed a quantitative research design and the deductive approach. Data were collected from 259 employees working in Omani SMEs and were analyzed using structural equation modeling SEM AMOS V24.
Findings
The findings supported positive direct effects of transformational leadership on Omani SMEs' business performance and market orientation. The results also supported the effect of market orientation on business performance. Further analysis showed that market orientation partly mediates the relationship between transformational leadership and business performance.
Practical implications
The results motivate Omani SMEs' leaders to use intangible capabilities (i.e., market orientation practices) to improve the different aspects of organizational performance. It also suggests that developing SMEs leaders' transformational skills on envisioning the future, adopting open communication styles, motivating employees and stimulating their creativity influences Omani SMEs' performance.
Originality/value
Due to the mixed results regarding the TL–OP relationship and the recommendations for further exploring this relationship, this study contributes to theory and practice. It is among the few studies to explore the mediating role of MO between TL and OP in a developing country's SMEs environment.
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The purpose of this paper is to describe a case study undertaken at Al Buraimi Hospital in Oman, which used computer simulation and the Delphi approach to improve efficiency by…
Abstract
Purpose
The purpose of this paper is to describe a case study undertaken at Al Buraimi Hospital in Oman, which used computer simulation and the Delphi approach to improve efficiency by reducing prescription dispensing waiting times.
Design/methodology/approach
This study’s framework was based on a discrete event simulation (DES) to identify the as-is pharmacy process and to create a to-be (future situation) to achieve an improvement in pharmacy workflow and service quality. Owing to healthcare environment complexity, and to gain a deeper understanding about Al Buraimi Hospital pharmacy problems, a Delphi technique was also used.
Findings
Based on Delphi, and according to the expert panel suggestions, two alternative scenarios were proposed to improve Al Buraimi Hospital pharmacy efficiency: fast-track and direct-dispensing, which should help to reduce the prescription dispensing waiting time process by 7.3 and 9.8 min, respectively.
Research limitations/implications
The main limitation is the pharmacists’ shortage, which may affect the prescription dispensing process’s quality as insufficient manpower to check the prescriptions may increase the medication errors’ risk.
Originality/value
Based on this case study’s real-world data, findings can be used to improve public healthcare sector pharmacy efficiency. The DES can be used in healthcare services to describe and test actual and proposed situations.
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The purpose of this paper is to contribute to the understanding of relationship between implementation process of marketing concepts and the culture at the small- to medium-sized…
Abstract
Purpose
The purpose of this paper is to contribute to the understanding of relationship between implementation process of marketing concepts and the culture at the small- to medium-sized enterprise (SME) level of the Omani economy. The marketing culture and behavior provide a comprehensive insight into the implementation process of marketing concepts in SME sector in Oman. This paper seeks to explore the marketing culture of the firm’s members and to what extent they can support or create barriers to the successful implementation of the marketing concept in Al Buraimi region – Oman.
Design/methodology/approach
A quantitative approach was used to explore the impact of organizational culture on the implementation of marketing concepts on SMEs; to achieve the objective of this study, the paper based on a sample of 240 of SME sector in Al Buraimi. Simple Random Sampling was used for the sample distribution. The IBM analysis program Statistical Package for Social Sciences was used to process the data sets.
Findings
The findings of this study support the argument about the positive relationship between the implementation of marketing concepts and organizational culture. In the Omani context, organizational culture is related to the whole society’s culture, which has changed over recent years due to changes in lifestyle and consumer behavior. All of this affects the SME sector and its ability to create new ideas for the marketing process.
Originality/value
The paper finds that there is a logic and structure to the culture and the implementation process of marketing concepts. It helps to identify the impact of the culture of the SME on the implementation of marketing in the SME sector on the Omani economy in light of the new orientation on the part of decision makers in terms of increasing the importance of non-oil activities.
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Mona Ashok, Mouza Saeed Mohammed Al Badi Al Dhaheri, Rohit Madan and Michael D. Dzandu
Knowledge management (KM) is associated with higher performance and innovative culture; KM can help the public sector to be fiscally lean and meet diverse stakeholders’ needs…
Abstract
Purpose
Knowledge management (KM) is associated with higher performance and innovative culture; KM can help the public sector to be fiscally lean and meet diverse stakeholders’ needs. However, hierarchical structures, bureaucratic culture and rigid processes inhibit KM adoption and generate inertia. This study aims to explore the nature and causes of this inertia within the context of the United Arab Emirates (UAE) public sector.
Design/methodology/approach
Using an in-depth case study of a UAE public sector organisation, this study explores how organisational inertia can be countered to enable KM adoption. Semi-structured interviews are conducted with 17 top- and middle-level managers from operational, management and strategic levels. Interview data is triangulated with content analysis from multiple sources, including the UAE Government and case organisation documents.
Findings
The results show transformation leadership, external factors and organisational culture mediate the negative effect of inertia on KM practices adoption. We find that information technology plays a key role in enabling knowledge creation, access, adoption and sharing. Furthermore, we uncover a virtuous cycle between organisational culture and KM practices adoption in the public sector. In addition, we develop a new model (the relationship between KM practices, organisational inertia, organisational culture, transformational leadership traits and external factors) and four propositions for empirical testing by future researchers. We also present a cross-case comparison of our results with six private/quasi-private sector cases who have implemented KM practices.
Research limitations/implications
Qualitative data is collected from a single case study.
Originality/value
Inertia in a public section is a result of bureaucracy and authority bounded by the rules and regulations. Adopting a qualitative methodology and case study method, the research explores the phenomena of how inertia impacts KM adoption in public sector environments. Our findings reveal the underlying mechanisms of how internal and external organisational factors impact inertia. Internally, supportive organisational culture and transformational leadership traits positively effect KM adoption, which, in turn, has a positive effect on organisational culture to counter organisational inertia. Externally, a progressive national culture, strategy and policy can support a knowledge-based organisation that embraces change. This study develops a new model (interactions between internal and external factors impacting KM practices in the public sector), four propositions and a new two-stage process model for KM adoption in the public sector. We present a case-comparison of how the constructs interact in a public sector as compared to six private/quasi-private sector cases from the literature.
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Hamad Mohamed Almheiri, Syed Zamberi Ahmad, Abdul Rahim Abu Bakar and Khalizani Khalid
This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these…
Abstract
Purpose
This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these capabilities on the organizational-level resources of dynamic capabilities and organizational creativity, ultimately influencing the overall performance of government organizations.
Design/methodology/approach
The calibration of artificial intelligence capabilities scale was conducted using a combination of qualitative and quantitative analysis tools. A set of 26 initial items was formed in the qualitative study. In the quantitative study, self-reported data obtained from 344 public managers was used for the purposes of refining and validating the scale. Hypothesis testing is carried out to examine the relationship between theoretical constructs for the purpose of nomological testing.
Findings
Results provide empirical evidence that the presence of artificial intelligence capabilities positively and significantly impacts dynamic capabilities, organizational creativity and performance. Dynamic capabilities also found to partially mediate artificial intelligence capabilities relationship with organizational creativity and performance, and organizational creativity partially mediates dynamic capabilities – organizational creativity link.
Practical implications
The application of artificial intelligence holds promise for improving decision-making and problem-solving processes, thereby increasing the perceived value of public service. This can be achieved through the implementation of regulatory frameworks that serve as a blueprint for enhancing value and performance.
Originality/value
There are a limited number of studies on artificial intelligence capabilities conducted in the government sector, and these studies often present conflicting and inconclusive findings. Moreover, these studies indicate literature has not adequately explored the significance of organizational-level complementarity resources in facilitating the development of unique capabilities within government organizations. This paper presents a framework that can be used by government organizations to assess their artificial intelligence capabilities-organizational performance relation, drawing on the resource-based theory.
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Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh and Denise Gengatharen
Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of…
Abstract
Purpose
Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area.
Design/methodology/approach
The authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field of AI adoption in the organisational context were reviewed to identify a set of factors influencing AI adoption.
Findings
This study categorised the factors influencing AI system adoption into individual, social, organisational, environmental and technological factors. Firm-level factors were found to impact employee behaviour towards AI systems. Further research is needed to understand the effects of these factors on employee perceptions, emotions and behaviours towards new AI systems. These findings led to the proposal of a theory-based model illustrating the relationships between these factors, challenging the assumption of independence between adoption influencers at both the firm and employee levels.
Originality/value
This study is one of the first to synthesise current knowledge on determinants of AI adoption, serving as a theoretical foundation for further research in this emerging field. The adoption model developed integrates key factors from both the firm and individual levels, offering a holistic view of the interconnectedness of various AI adoption factors. This approach challenges the assumption that factors at the firm and individual levels operate independently. Through this study, information systems researchers and practitioners gain a deeper understanding of AI adoption, enhancing their insight into its potential impacts.
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Fatima Shaukat, Muhammad Shafiq and Atif Hussain
As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT…
Abstract
Purpose
As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT acceptance as incorporation of blockchain technology can solve telemedicine-related issues. Accordingly, this study aims to investigate the factors influencing behavioral intentions (BI) to adopt BBT.
Design/methodology/approach
An integrated model comprising the constructs taken from technology–organization–environment framework, technology acceptance model, unified theory of acceptance and use of technology and theory of planned behavior based on their relevance to the context and the objectives of the study has been used for this research. A quantitative approach has been used to test the hypotheses, for which the data was collected from 324 respondents through a self-administered questionnaire. Partial least squares structural equation modeling has been used to test the hypotheses.
Findings
The results of the study show that relative advantage, perceived usefulness, trust and perceived ease of use have a significant impact on BI to adopt BBT, whereas regulatory support, subjective norms and facilitating conditions do not have any significant impact on the same.
Research limitations/implications
As the concept of BCT in Pakistan is at its nascent stage and literature regarding this technology’s adoption is also limited, researchers and scholars can apply it to several other fields in Pakistan. For example, this study can be extended to explore the factors influencing blockchain adoption in areas such as education, logistics, transportation, finances and management. This research only considers the direct effects of constructs on BI to adopt BBT and does not consider any mediation and moderations constructs. Future researchers can also study the influence of mediation and moderation constructs on BI to adopt BCT.
Originality/value
Although studies on the acceptance of telemedicine exist, there is a gap concerning the acceptance of BBT, which the current study helps to bridge. From a practical standpoint, the current study makes a highly valuable contribution toward understanding acceptance factors for BBT projects, leading to help policymakers devise policies to promote telemedicine.
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Achmad Wildan Kurniawan, Suwandi Sumartias, Soeganda Priyatna, Karim Suryadi and Eli Sumarliah
This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the…
Abstract
Purpose
This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.
Design/methodology/approach
Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).
Findings
The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.
Originality/value
Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.
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Gharib Hashem and Mohamed Aboelmaged
Rapid changes in the global environment and the effects of existing economic issues triggered by COVID-19 and the war in Ukraine have posed several challenges for manufacturing…
Abstract
Purpose
Rapid changes in the global environment and the effects of existing economic issues triggered by COVID-19 and the war in Ukraine have posed several challenges for manufacturing firms. A hybrid strategy integrating lean and agile (leagile) systems is viable for firms to enhance their capabilities in such dynamic contexts. This paper examines the critical drivers of leagile manufacturing system adoption in an emerging economy from the technological, organizational and environmental (TOE) perspective.
Design/methodology/approach
A cross-sectional survey is carried out to obtain data from 438 managers working in 219 manufacturing firms. Multiple regression analysis is applied to test the effect of technological, organizational and environmental drivers on the adoption of leagile systems.
Findings
The results show that organization capacity, environmental uncertainty and relative advantage demonstrate the most significant positive relationships with the leagile systems adoption wherein complexity and resistance to change appear to exhibit significant negative associations. Unexpectedly, firm size unveils no significant effect on the adoption of leagile systems.
Practical implications
To deal effectively with critical challenges triggered by ever-changing environment, firms have sought to adopt innovative systems for achieving products' availability in the markets at the right quality and price. A hybrid strategy integrating lean and agile (leagile) systems is viable to enhance a firm's capabilities in such dynamic contexts. The findings of our study help top management and policymakers identify and assess the critical drivers that may facilitate or hinder the successful adoption of leagile systems.
Originality/value
A major trend of studies in the field of manufacturing systems has focused on the critical success factors of adopting either lean or agile systems. Furthermore, research work concerning leagile as a hybrid system focuses primarily on the conceptual development rather than empirical grounds of leagile systems. Given the lack of empirical research in this field, this study offers an early attempt to predict leagile system adoption in an emerging economy. It also contributes to the manufacturing systems research by extending the extant knowledge about the role of firm-level drivers in leagile system adoption from the TOE perspective.
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Shamim Talukder, Raymond Chiong, Sandeep Dhakal, Golam Sorwar and Yukun Bao
Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing…
Abstract
Purpose
Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context.
Design/methodology/approach
The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services.
Findings
The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services.
Research limitations/implications
Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems.
Originality/value
This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.