Mahmood Anwar
TIIAME-National Research University

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Bima Mobile Quality and Perceived Security as Predictors of Customer Satisfaction at Bank Jateng Surakarta Branch Mahmood Anwar; Efriyani Sumastuti
Data : Journal of Information Systems and Management Vol. 4 No. 1 (2026): January 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v4i1.1998

Abstract

Mobile banking satisfaction depends on customers’ evaluations of transaction performance and the protection of their financial interactions. This study examines perceived transaction service quality and perceived transaction security as predictors of customer satisfaction among Bima Mobile users at Bank Jateng Surakarta Branch, Indonesia. A quantitative explanatory cross-sectional survey involved 250 customers during January–April 2026. Fifteen indicators measured three constructs on five-point agreement scales, and the reported analysis used covariance-based structural equation modeling with normal-theory maximum likelihood estimation. Standardized factor loadings ranged from 0.717 to 0.803, composite reliability from 0.867 to 0.880, and average variance extracted from 0.566 to 0.594. The model showed satisfactory fit: χ²(87) = 91.382, CFI = 0.998, TLI = 0.997, RMSEA = 0.014, and SRMR = 0.035. Transaction service quality was positively associated with satisfaction (β = 0.533; B = 0.558; 95% CI [0.402, 0.714]), as was perceived security (β = 0.252; B = 0.269; 95% CI [0.126, 0.411]). Together, the predictors explained 46.2% of latent satisfaction variance. These findings support distinguishing transaction execution quality from customers’ security perceptions when evaluating mobile banking satisfaction. Transaction clarity, consistent service delivery, and understandable security communication are relevant areas for managerial attention. The cross-sectional design limits causal interpretation, and perceived security does not establish technical cybersecurity performance.
ERP Inventory Module Rollout and Stock Record Accuracy across Inventory Units at Polytron’s Sayung Plant: A Difference-in-Differences Study Mahmood Anwar; S. Makesh; Setyoningsih Wibowo; C. Tri Widiastuti
Data : Journal of Information Systems and Management Vol. 4 No. 3 (2026): July 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v4i3.2000

Abstract

Reliable stock records support material planning, replenishment, and production continuity, yet the contribution of an enterprise resource planning (ERP) inventory rollout is difficult to distinguish from concurrent operational change. This study examines changes in stock record accuracy across inventory units identified in the researcher-supplied dataset as belonging to Polytron’s Sayung plant, Demak, Indonesia. A quantitative quasi-experimental design compares six rollout units with six comparison units from October 2025 to April 2026. January is treated as an implementation transition, leaving 72 unit-month observations for the main difference-in-differences (DiD) model with unit and month fixed effects. Accuracy is the percentage of audited stock-keeping-unit records matching physical quantities before stock adjustment. Mean accuracy increased from 80.64% to 90.91% in rollout units and from 80.72% to 82.04% in comparison units. The estimated relative improvement was 8.95 percentage points (95% cluster-t confidence interval 7.72–10.19); the restricted wild cluster bootstrap p-value was 0.00049. Weighting, alternative period definitions, and unit exclusions preserved a positive association. However, three baseline months, twelve clusters, and incomplete supporting source documentation constrain causal interpretation. The study illustrates an operationally interpretable evaluation of inventory accuracy using repeated audits and a contemporaneous comparison group, while emphasizing that rollout attribution depends on documented assignment, consistent measurement, and credible counterfactual trends.
Information Systems Management Capability and Licensing Service Performance: Mediating Roles of Information Quality and Decision Effectiveness in Surakarta Mahmood Anwar; Zohaib Hassan Sain Sain; Nuswantoro Setyadi Pradono
Data : Journal of Information Systems and Management Vol. 4 No. 1 (2026): January 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v4i1.2001

Abstract

Digital licensing services depend on the ability to manage information systems and translate information into effective administrative action. This study examines the associations between information systems management capability and licensing service performance through information quality and decision effectiveness in Surakarta, Indonesia. A cross-sectional survey dataset contained 150 personnel involved in licensing-related information systems during February–June 2026. Twenty five-point indicators measured four constructs. The supplied Mode A partial least squares structural equation model used standardized construct scores and 800 bootstrap resamples. Information systems management capability was positively associated with information quality (β = 0.619), decision effectiveness (β = 0.302), and licensing service performance (β = 0.369). Information quality was associated with decision effectiveness (β = 0.433) and service performance (β = 0.342), while decision effectiveness was associated with service performance (β = 0.176). All six direct effects had positive 95% bootstrap intervals. Specific indirect effects through information quality (β = 0.212), decision effectiveness (β = 0.053), and the sequential pathway (β = 0.040) were also supported. The model explained 58.9% of the variance in perceived service performance. These findings support complementary direct and indirect associations, with information quality providing the largest specific indirect pathway. The study extends capability-based explanations to municipal licensing services and identifies information governance and decision routines as practical priorities. Cross-sectional self-reports and the limited bootstrap analysis constrain causal and predictive interpretations.