Enterprise resource planning success in Jordan from the perspective of IT-Business strategic alignment

Teoh

2023

BPMJ

100

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.

Section: Training Qualitymentioning

confidence: 86%

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

Teoh

2023

BPMJ

100

“…Likewise, Gaardboe et al (2017) in their study reported that a high information quality in terms of consistency, understanding, accuracy and relevance positively influences user satisfaction and user performance. An extensive amount of empirical proof can be found in the literature that information quality has a positive impact on user satisfaction and user performance (Al-Okaily et al, 2022a;Iranmanesh et al, 2022;Almajali et al, 2022). Drawing on these discussions, we hypothesize the following:…”

Section: Information Qualitymentioning

confidence: 91%

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.

“…However, other studies (e.g., Porat & Tractinsky, 2012;Lavie & Tractinsky, 2004;Yik et al, 1999;Nusairat et al, 2021) employed the M-R model since it was theoretically intriguing to examine how design elements affect users' emotional states, wherein one's level of satisfaction or happiness in a certain area is measured in terms of pleasure, and one's level of arousal is measured in terms of how stimulated one becomes in that location. Dominance is a person's sense of control over their environment (Kim et al, 2009;Palvia, 2009;Almajali et al, 2022). Porat and Tractinsky (2012) define a user's emotional state in three ways (i.e., PAD).…”

Section: Niqmentioning

confidence: 99%

The effect of multimodality on customers' decision-making and experiencing: A comparative study

Alsokkar¹,

Law²,

Almajali³

et al. 2023

10.5267/j.ijdns

The primary objective of this article is to present the findings of an experimental study on the use of a human-like “naturalistic” avatar (of both genders) for information presentations. The primary goal is to investigate how users' frame of mind, purchasing behavior, and satisfaction are affected by being presented with information by a naturalistic avatar that lacks expressive capabilities. Two different types of information presentations were developed and empirically tested on 48 participants, namely: (i) two dimensional static graphical and textual information presentation and (ii) non-expressive naturalistic avatar. For this comparative research study, a simplified version of the user experience model that was used in our earlier research (the EUX-DM) was selected to serve as the measurement model. Participants' perceived values of the measured qualities were found to be independent of both their own and the naturalistic avatar's gender, and the non-expressive avatar had a positive effect and a stronger encouragement on participants' intention to purchase, usage attitude, and satisfaction than other types of information presentations.