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Article
Publication date: 29 November 2018

Maryam Hassani, Arash Shahin and Manouchehr Kheradmandnia

The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements…

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Abstract

Purpose

The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements, simultaneously and to prioritize the first two sets, respectively.

Design/methodology/approach

A three dimensional matrix has been developed with three sets of PC, PA and customers’ requirements and C-shaped matrix has been applied for simultaneous comparison of the dimensions and prioritization of the subsets of PC and PA. The proposed approach has been examined in a post bank.

Findings

Findings confirm the possibility of simultaneous comparison and prioritization of the three sets of dimensions of this study in post bank services. In addition, “growth and learning” and “bilateral relationship with suppliers” had the first priorities among PA and PC, respectively.

Research limitations/implications

While the proposed approach has many advantages, filling the matrixes is time-consuming. Since illustrating the 3D matrix was not possible, the matrix was separated into five two-dimensional matrixes.

Originality/value

Compared to the studied literature, the proposed approach is practically new in the post bank services.

Details

Benchmarking: An International Journal, vol. 25 no. 9
Type: Research Article
ISSN: 1463-5771

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 August 2024

Rabiya Nawaz, Maryam Hina, Veenu Sharma, Shalini Srivastava and Massimiliano Farina Briamonte

Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet…

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Abstract

Purpose

Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet unexplored. This study aims to examine the utilization of knowledge arbitrage by startups, specifically during COVID-19.

Design/methodology/approach

This study employed an open-ended essay methodology to explore the drivers and barriers that startups face in utilizing knowledge arbitrage. We collected data from 40 participants to understand the role of knowledge arbitrage in startups’ knowledge management practices.

Findings

This study’s findings highlight the significance of knowledge arbitrage for startups. The benefits identified include organizational benefits such as building networks, innovating new products and achieving competitive advantage and financial benefits such as cost reduction and sales growth. The study also identifies several technological and organizational drivers and barriers that startups confront during knowledge arbitrage.

Originality/value

This study contributes to the existing literature on knowledge management by extending our understanding of knowledge arbitrage’s role in startups. Additionally, it sheds light on the importance of knowledge arbitrage for startups and the challenges they face, particularly in a disrupted environment reared by COVID-19. The study provides insights for the scholars and practitioners interested in effective knowledge management in startups.

Details

Journal of Knowledge Management, vol. 28 no. 11
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 9 December 2024

Muhammad Shaheer Nuhu, Kaltume Mohammed Kamselem, Maryam Mustapha and Mohammed Sani Abdullahi

This study aims to examine how employee empowerment (personal value and impact) influences the delivery of services quality (SQD). The study focused in particular on the mediating…

22

Abstract

Purpose

This study aims to examine how employee empowerment (personal value and impact) influences the delivery of services quality (SQD). The study focused in particular on the mediating effects of organizational citizenship behavior (OCB) on the link between employee empowerment (EE), personal value, employee impact and SQD.

Design/methodology/approach

A total of 310 survey questionnaires were completed by the nursing employees working in the public hospitals in Nigeria. SEM-PLS was used to carry out the statistical analysis.

Findings

The findings of the study revealed that EE (personal value and employee impact) and OCB significantly affect SQD. The findings also indicate that OCB mediates the link between SQD and personal value, employee impact and SQD.

Practical implications

The results of this study shed light on the influence of employee personal value and impact and its influence on SQD. Public hospitals should therefore concentrate on recognizing, comprehending and implementing employee empowerment to improve employee nurses’ capacity to achieve higher SQD. Along with how the accepted hypotheses are confirmed, the implications of these findings for theory and practice are also discussed.

Originality/value

Even though SQD has become a well-developed theoretical concept, previous research has rarely addressed the framework suggested for the present study, particularly when it comes to health care. In the context of public health sector settings, this study may be the first to examine the mediating role of OCB between personal values, employee impact and SQD.

Details

International Journal of Quality and Service Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-669X

Keywords

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Article
Publication date: 22 October 2019

Babak Esmaeilpour Ghouchani, Susan Jodaki, Maryam Joudaki, Alireza Balali and Lila Rajabion

Nowadays, the Internet of Things (IoT) offers new intelligent services and business model opportunities by extending the internet connectivity into physical devices and daily…

719

Abstract

Purpose

Nowadays, the Internet of Things (IoT) offers new intelligent services and business model opportunities by extending the internet connectivity into physical devices and daily objects. Recently, this technology has had a deep impact on all the aspects of human societies from industry to management and business. Therefore, the purpose of this paper is to predict the impact of using IoT services on the development of electronic business (e-business).

Design/methodology/approach

For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SmartPLS 3.2 is used.

Findings

The findings have confirmed the validity of the proposed model. The results also have indicated that the quality of IoT services (scalability, availability, reliability and ease of use), security of IoT services (trust, reputation, privacy and encryption) and IT knowledge of users (usage skills, awareness, experience and accuracy) have a positive and significant impact on development of e-business. Furthermore, the obtained results have revealed that the operating cost of IoT services (transmission time, storage capacity, functionality and stability) is significantly influenced by the development of e-business.

Research limitations/implications

By capturing a number of important factors in the proposed model, this study can provide a significant theoretical influence for researchers in the related area of interest. In fact, this study provides a worthwhile direction by assessing e-business performance, which, so far, has not been well assessed in many developing countries.

Practical implications

From a practical perspective, the statistical results support the crucial role of the following factors: quality of IoT services, the security of IoT services, operating cost of IoT services and IT knowledge of users. Hence, aspects relating to these factors must be the focus of attention of any organization in their endeavor to development of e-business.

Originality/value

This study meaningfully contributes to the knowledge and literature by focusing more on development e-business and IoT as original technology for further understanding, investigating other important features and applying advanced statistical analyses technique. By doing so, this study was able to develop the current understanding regarding the main aspects of development e-business and IoT services.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 50 no. 1
Type: Research Article
ISSN: 2059-5891

Keywords

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Article
Publication date: 15 June 2021

Maryam philsoophian, Peyman Akhavan and Morteza Namvar

Sharing knowledge with business partners is a challenging issue as firms need to share their valuable know-how assets with individuals or other companies out of their…

2097

Abstract

Purpose

Sharing knowledge with business partners is a challenging issue as firms need to share their valuable know-how assets with individuals or other companies out of their organizational boundaries. As supply chain management (SCM) deals with various stakeholders, firms face difficulties with privacy and ownership when they share their know-how with suppliers or business partners. This study introduces blockchain technology as a mediator in improving knowledge sharing (KS) practices in supply chains.

Design/methodology/approach

The data have been collected from surveys with 116 experts working in blockchain start-ups and organizations, and the authors used structural equation modeling for its analysis.

Findings

The results show that two features of blockchain technology, namely transparency and security, have the highest impacts on mediating knowledge sharing impacts on supply chain performance. The authors’ findings also highlight that among the performance metrics of SCM, speed is highly improved when blockchain technology is used for knowledge sharing. Their study provides guidance for managers on how to improve SCM performance through KS, which is empowered by a blockchain system.

Originality/value

The authors’ findings help organizations to improve supply chain actions, improve innovation, enhance competitive advantage and increase the speed of relationships in the supply chain. The research also contributes literature by analyzing the key factors showing how knowledge sharing structure may be improved by blockchain technology which would be helpful for both academics and practitioners.

Details

Management Decision, vol. 60 no. 3
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 27 December 2021

Zohreh Doborjeh, Nigel Hemmington, Maryam Doborjeh and Nikola Kasabov

Several review articles have been published within the Artificial Intelligence (AI) literature that have explored a range of applications within the tourism and hospitality…

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Abstract

Purpose

Several review articles have been published within the Artificial Intelligence (AI) literature that have explored a range of applications within the tourism and hospitality sectors. However, how efficiently the applied AI methods and algorithms have performed with respect to the type of applications and the multimodal sets of data domains have not yet been reviewed. Therefore, this paper aims to review and analyse the established AI methods in hospitality/tourism, ranging from data modelling for demand forecasting, tourism destination and behaviour pattern to enhanced customer service and experience.

Design/methodology/approach

The approach was to systematically review the relationship between AI methods and hospitality/tourism through a comprehensive literature review of papers published between 2010 and 2021. In total, 146 articles were identified and then critically analysed through content analysis into themes, including “AI methods” and “AI applications”.

Findings

The review discovered new knowledge in identifying AI methods concerning the settings and available multimodal data sets in hospitality and tourism. Moreover, AI applications fostering the tourism/hospitality industries were identified. It also proposes novel personalised AI modelling development for smart tourism platforms to precisely predict tourism choice behaviour patterns.

Practical implications

This review paper offers researchers and practitioners a broad understanding of the proper selection of AI methods that can potentially improve decision-making and decision-support in the tourism/hospitality industries.

Originality/value

This paper contributes to the tourism/hospitality literature with an interdisciplinary approach that reflects on theoretical/practical developments for data collection, data analysis and data modelling using AI-driven technology.

Details

International Journal of Contemporary Hospitality Management, vol. 34 no. 3
Type: Research Article
ISSN: 0959-6119

Keywords

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