Citizen's Adoption Of Mobile Land Record Information Systems (mLRMIS): A Case of Pakistan

Abstract

By implementing a prolonged social cognitive theory (SCT) this article investigates factors including outcome expectation, affect, anxiety, self-efficacy, social influence, trust, facilitating conditions, e-satisfaction, information quality and e-service quality impacting citizen’s intention to adopt a mobile based e-government system called mobile Land Record Information Systems (mLRMIS) with respect to Pakistan. The prolonged social cognitive theory (SCT) was actually affirmed by analyzing gathered data periodically accumulated over time from 10 different cities in Pakistan. Verifiable results of the proposed model represented mutual significance of relationships of 12 hypothesized relations between 10 different types of constructs. Only a few studies have previously used SCT model to investigate the adoption of an e-government system globally while in case of Pakistan it is the first ever study using SCT model to figure out the adoption of an e-government system. Outcome significance and digital policy substance exhibited in this article can assist e-government planners and practitioners to reform up quality and effectivity of mLRMIS system. This research also contributes to elevate relevant awareness and utilization of mLRMIS system.

Determinants of the Land Registration Information System Operational Success: Empirical Evidence from Ethiopia

“…Hence, H4 was not supported, while H4a was supported. Malik et al [55,56] found that perceived usefulness is influenced by an understanding of the information quality; [83] the current study analysis also revealed similar findings (H2b). Machdar and Malik et al [55,56,84] found that the quality of information positively affects perceived usefulness and ease of use, and perceived ease of use positively affects perceived usefulness [84].…”

“…Malik et al [55,56] found that perceived usefulness is influenced by an understanding of the information quality; [83] the current study analysis also revealed similar findings (H2b). Machdar and Malik et al [55,56,84] found that the quality of information positively affects perceived usefulness and ease of use, and perceived ease of use positively affects perceived usefulness [84]. Several studies have found strong relationships between perceived usefulness and self-reported use [85], extent of use [86], or dependence on an information system [87].…”

“…These are that it is easy to learn, easy to use, and useful to do daily business related to land transaction management and service delivery at the woreda land administration offices. Malik et al [55] and Hamdan and Al-Hajra [79] observed that a system's level of association had a positive influence on the perceived ease of use and the perceived usefulness of the system under investigation [55,56]. Moreover, the system quality would also affect the information quality and the service quality of the organization under study, and this, in turn, affects the acceptance and actual usage of the system.…”

“…Since its invention, the D&M IS success model and the TAM model have been applied across several IS domain research contexts but are rare in the LRIS context [55,56]. De-Lone and MacLean reviewed the existing definitions of IS success and their corresponding measures and classified them into six major categories [57].…”

Measuring the Enterprise Green Innovation Strategy Decision-Making Quality: A Moderating—Mediating Model

“…This theory also points out that information acquisition is a process of thinking emotions and behavioral interaction of individuals, and individual differences such as knowledge reserve, experience, and social network relationship of information collectors all affect information acquisition ability (Wilson, 1999 ). Several studies in the literature employ cognitive-behavioral theory from different perspectives to measure the cognitive behavior of individuals and is considered a key aspect of organizational decision-making, i.e., in entrepreneurship (Shahzad et al, 2021 ), technology adoption decisions (Park and Kim, 2014 ; Malik et al, 2016 ; Zhang, 2019 ), social media and consumer behavior (Wang and Lin, 2012 ; Wang et al, 2019 ). Therefore, considering the importance of this theoretical aspect, we use it as the underlying theory for determining the strategic decision-making behavior of an organization's green innovation.…”