Data analytics in small and mid-size enterprises: Enablers and inhibitors for business value and firm performance

PurposeThis study explores the link between ISO 9001 certification, personal data protection and firm performance using financial balance sheet and survey data. The security aspect of data protection is analyzed based on the major requirements of the General Data Protection Regulation and mapped to the relevant controls of the ISO/IEC 27001/27002 standards.Design/methodology/approachThe research analysis is based on 96 ISO 9001–certified and non-certified publicly traded manufacturing and service firms that responded to a structured questionnaire. The authors develop and empirically test their theoretical model using the structural equation modeling technique and follow a difference-in-differences econometric modeling approach to estimate financial performance differences between certified and non-certified firms accounting for the level of data protection.FindingsThe estimates indicate three core dimensions in the areas of “policies, procedures and responsibilities,” “access control management” and “risk-reduction techniques” as desirable components in establishing the concept of data security. The estimates also suggest that the data protection level has significantly impacted the performance of certified firms relative to the non-certified. Controlling for the effect of industry-level factors reveals a positive relationship between data security and high-technological intensity.Practical implicationsThe results imply that improving the level of compliance to data protection enhances the link between certification and firm performance.Originality/valueThis study fills a gap in the literature by empirically testing the influence of data protection on the relationship between quality certification and firm performance.

Section: Discussionsupporting

confidence: 89%

Section: Key-component Component Descriptionmentioning

confidence: 99%

Does personal data protection matter for ISO 9001 certification and firm performance?

Siougle

Dimelis

Malevris

2023

IJPPM

“…The topic of information quality has received extensive scholarly attention in relation to BI effectiveness (Jaradat et al, 2022). That is because BI processes raw data with high levels of uncertainty and produces analytical data with a high degree of reliability for effective decision-making (Perdana et al, 2022). Information or output quality is concerned with the features of information provided by a system such as relevance reliability, format, conciseness, currency, timeliness, accuracy and other criteria (DeLone and McLean, 2016).…”

Section: Information Qualitymentioning

confidence: 99%

Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis

Teoh

2023

BPMJ

101

PurposeA crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.Design/methodology/approachThe suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.FindingsEmpirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.Originality/valueThis research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.

“…With the emergence of the knowledge economy, numerous organizations have shifted their focus from the production of things to the production of information (Hujran et al , 2021; Al-Okaily and Al-Okaily, 2022). Concomitant with this increased focus on information as an organizational product is the increased desire to develop and use information to improve the internal management of the firm (Perdana et al , 2022; Abu-Salih et al , 2018). The combined effect of these changes is the generation of a tremendous volume of data which represents both opportunities and challenges for the modern organization (Maroufkhani et al , 2020; Al-Omoush et al , 2019).…”

Section: Literature and Theoretical Foundationsmentioning

confidence: 99%

The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model

Teoh

et al. 2023

IDD

Purpose There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry. Design/methodology/approach A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach. Findings The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry. Practical implications The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance. Originality/value To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.