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Article
Publication date: 22 December 2023

Ali Ahmed Albinali, Russell Lock and Iain Phillips

This study aims to look at challenges that hinder small- and medium-sized enterprises (SMEs) from using open data (OD). The research gaps identified are then used to propose a…

Abstract

Purpose

This study aims to look at challenges that hinder small- and medium-sized enterprises (SMEs) from using open data (OD). The research gaps identified are then used to propose a next generation of OD platform (ODP+).

Design/methodology/approach

This study proposes a more effective platform for SMEs called ODP+. A proof of concept was implemented by using modern techniques and technologies, with a pilot conducted among selected SMEs and government employees to test the approach’s viability.

Findings

The findings identify current OD platforms generally, and in Gulf Cooperation Council (GCC) countries, they encounter several difficulties, including that the data sets are complex to understand and determine their potential for reuse. The application of big data analytics in mitigating the identified challenges is demonstrated through the artefacts that have been developed.

Research limitations/implications

This paper discusses several challenges that must be addressed to ensure that OD is accessible, helpful and of high quality in the future when planning and implementing OD initiatives.

Practical implications

The proposed ODP+ integrates social network data, SME data sets and government databases. It will give SMEs a platform for combining data from government agencies, third parties and social networks to carry out complex analytical scenarios or build the needed application using artificial intelligence.

Social implications

The findings promote the potential future utilisation of OD and suggest ways to give users access to knowledge and features.

Originality/value

To the best of the authors’ knowledge, no study provides extensive research about OD in Qatar or GCC. Further, the proposed ODP+ is a new platform that allows SMEs to run natural language data analytics queries.

Details

Transforming Government: People, Process and Policy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6166

Keywords

Article
Publication date: 18 January 2022

Amsalu Bedemo Beyene

The main objective of this article is to analyze the role of governance quality in influencing the economic growth of 22 selected Sub-Saharan African Countries.

Abstract

Purpose

The main objective of this article is to analyze the role of governance quality in influencing the economic growth of 22 selected Sub-Saharan African Countries.

Design/methodology/approach

The study applied the panel dynamic Generalized Method of Moments (GMM) to analyze the data obtained from the World Bank database over the period from 2002 to 2020.

Findings

The overall finding indicated that the composite governance index has a positive significant effect on the economic growth of the countries; where a unit improvement in the aggregate governance index leads to a 3.05% increase in GDP. The disaggregated result has shown that corruption control and government effectiveness have a negative significant effect on growth performance, whereas, the rule of law and regulatory quality showed a positive significant effect. Political stability and voice and accountability have an insignificant effect on economic growth.

Research limitations/implications

Due to data limitations, this study could not address the whole members of Sub Sahara African Countries and could not see the causal relationship.

Practical implications

The study suggested a strong commitment to the implementation of policy and reform measures on all governance factors. This may add to the need to devise participatory corruption control mechanisms; to closely look at the proper implementation of policies and reforms that constitute the government effectiveness factors, and properly implement the rule of law at all levels of the government with a strong commitment to realizing it so that citizens at all levels can have full confidence in and abide by the rules of society.

Originality/value

Even though there are some studies conducted using conventional methods of panel data analysis such as random effect or fixed effects, this empirical study used more advanced panel dynamic generalized moment of methods to examine the role of improvement in governance quality on economic growth.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 13 July 2023

Deepanjana Varshney and Nirbhay Krishna Varshney

Organizations in today's changing environment face significant challenges, requiring continual innovation. Understanding oneself from the employee's perspective is paramount…

Abstract

Purpose

Organizations in today's changing environment face significant challenges, requiring continual innovation. Understanding oneself from the employee's perspective is paramount, especially in organizations and businesses, transforming all levels, accommodating new work paradigms and adapting to the post-pandemic business world. The authors examine the employees' critical dimensions, self-concept and resilience through self-reported studies to ascertain the impact on their performance in the organization. Self-concept, a multidimensional knowledge structure, implies the individual's description and examination, including psychological characteristics, attributes and skills. On the other hand, resilience is adapting appropriately to adversity, challenges and stressful situations and emerging unscathed. Resilience additionally leads to profound personal growth and acceptance of reality. It also endows the individual's sense of identity over time. It provides insights into work behavior and outcomes and fosters a positive psychological perspective to improve performance. Job performance is an observable individual performance that adds value and enables organizational goal achievement. To sum job performance is an achievement-related behavior. The research study examines the relationship between employee self-concept, resilience and performance elements (task, contextual and counterproductive work behavior).

Design/methodology/approach

Cross-sectional data were collected from 224 employees from the retail sector to test the hypotheses among self-concept, employee performance elements and resilience. SPSS 21.0 was used, and the authors conducted reliability, correlation and regression analysis using statistical tools to analyze the mediating effect.

Findings

Self-concept and employee performance elements have significant relationships. The mediating effect of resilience on the relationship between self-concept and counterproductive work behavior and self-concept and contextual performance is significant. In contrast, resilience does not impact the relationship between self-concept and task performance.

Originality/value

The authors examined a framework of untested variables, namely self-concept and the different factors of performance (task, contextual and counterproductive behavior). The authors investigated the mediating effect of resilience in the model, which was not previously explored.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 30 January 2024

Li Si and Xianrui Liu

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the…

Abstract

Purpose

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

Design/methodology/approach

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Findings

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

Research limitations/implications

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

Practical implications

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

Originality/value

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

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