Noor Ul-ain

@article{ahmed_3081,

title = {Digital leadership and innovative work behavior: impact of LMX, learning orientation and innovation capabilities},

author = {Farooq Ahmed and M. Muzamil Naqshbandi and Mehwish Waheed and Noor Ul-Ain},

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-04-2023-0654/full/html},

year  = {2024},

date = {2024-12-01},

journal = {Management Decision},

volume = {62},

number = {11},

pages = {3607-3632},

abstract = {Purpose - Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership

and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning

orientation, and innovation capabilities.

Design/methodology/approach - We undertake a quantitative approach using a two-wave longitudinal

field survey of 440 employees and managers from various backgrounds working in the automobile industry in

France.

Findings - The findings based on Structural Equation Modeling reveal that the perception of digital

leadership leads to innovative work behavior while leader-member exchange moderates between the

perception of digital leadership and learning orientation. The findings also support the mediating roles of

learning orientation and innovation capabilities.

Originality/value - The study contributes important policy suggestions, raises queries for additional

investigation, and suggests theoretical and practical implications for leadership and organizational

environmental factors to foster innovative work behaviors in organizations.},

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pubstate = {published},

tppubtype = {article}

}

@article{waheed_3109,

title = {Satisfaction as a function of user justice: a social exchange theory perspective},

author = {Mehwish Waheed and Noor Ul-Ain and Jan Riezebos and Patrick Mikalef},

url = {https://www.tandfonline.com/doi/full/10.1080/09537325.2024.2369934},

year  = {2024},

date = {2024-07-01},

journal = {Technology Analysis & Strategic Management},

abstract = {This study investigates complaint behaviour as a function of post-satisfaction behaviour stemming from perceptions of justice and security. Grounded in social exchange theory, we propose an integrated framework in which

security, expectation confirmation, and dimensions of justice (distributive, procedural, and interactional) influence satisfaction, affecting complaint behaviour towards the eCommerce Digital Supply Chain (DSC) process.

Data were collected through a quantitative online survey involving 316 Amazon eShoppers of tech products from the European region. The confirmatory factor analysis results validated the second-order reflective justice construct, encompassing distributive, procedural, and interactional

dimensions. Furthermore, the structural relationship results revealed (i) justice and security have a significant impact on eShoppers' satisfaction; (ii) a significant relationship exists between word of mouth, satisfaction, and eShoppers' complaint intention. This framework contributes to the existing knowledge base and offers valuable insights for stakeholders in the eCommerce DSC.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{waheed_1702,

title = {Unveiling Knowledge Quality, Researcher Satisfaction, Learning, and Loyalty: A Model of Academic Social Network Success},

author = {Mehwish Waheed and Noor Ul-Ain},

url = {https://www.emerald.com/insight/content/doi/10.1108/ITP-07-2018-0345/full/html},

year  = {2021},

date = {2021-01-01},

journal = {Information Technology & People},

volume = {34},

number = {1},

pages = {204-227},

abstract = {Abstract

Purpose

Examines how perceived knowledge quality influences researchers' satisfaction with academic social media (ASM) site use, perceived learning from use, and loyalty toward the site.



Design/methodology/approach

Built upon the theoretical grounding of the information system success framework, it was hypothesized that satisfaction, perceived learning, and loyal behavior toward an ASM site are all functions of the perceived quality of knowledge obtained. Data were collected by online survey from 348 researchers registered on ResearchGate and subjected to SmartPLS structural equation modeling, bootstrapping, and blindfolding.

Findings

The hypothesized relationships were supported. Perceived knowledge quality significantly influences researchers' satisfaction with ASM site use, and satisfaction affects perceived learning and researchers' loyalty with the ASM site.



Research limitations/implications

Identification of the relationship between perceived knowledge quality and ASM site success extends the study of ASM sites from description of usage patterns to understanding the effect of content quality on important outcomes of use.

Practical implications

ASM sites rely on the quality of knowledge contributed by their members for satisfaction, loyalty, and perceptions of value. The ongoing success of an ASM requires directed attention to quality knowledge provision.



Originality/value

This paper contributes a simplified DeLone & McLean information system success framework for studies of content quality. It also provides fresh insights into ASM site usage through a focus on the role of perceived knowledge quality in forming satisfaction, learning, and loyalty.},

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pubstate = {published},

tppubtype = {article}

}

@article{ul-ain_1675,

title = {Two decades of research on business intelligence system adoption, utilization and success - A systematic literature review},

author = {Noor Ul-Ain and Giovanni Vaia and William H. DeLone and Mehwish Waheed},

url = {https://doi.org/10.1016/j.dss.2019.113113},

year  = {2019},

date = {2019-10-01},

journal = {Decision Support Systems},

volume = {125},

pages = {113113},

abstract = {In the recent era of technological advances and hyper-competition, business intelligence (BI) systems have attracted significant attention from executives and decision makers due to their ability to provide complex and

competitive information inputs for the decision process. Following the world of practice, research into the

adoption, utilization and success of BI systems has grown substantially over the past two decades. The literature

suggests that organizations have largely failed to capture the benefits of BI systems to their full extent and are

seeking ways to leverage value from the implemented systems. However, prior studies do not have any comprehensive study that discusses the issues and challenges related to adoption, utilization and success of BI

systems. In this study, using a systematic literature review, we present comprehensive knowledge about what has

been found in the domain of BI system adoption, utilization and success. A total of 111 peer-reviewed studies,

covering three categories - adoption, utilization and success - published between 2000 and 2019, were selected.

The findings present the research methods, underpinning theories and key factors employed to study BI system

adoption, utilization and success. In addition, the review identified the key issues related to BI adoption, utilization and success and highlighted the areas that have attracted more or less attention. This study also suggests

future directions for researchers and practitioners in terms of unexplored themes that may help organizations to

obtain value from BI systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ul-ain_1703,

title = {The influence of learning value on learning management system use: An extension of UTAUT2},

author = {Noor Ul-Ain},

url = {https://doi.org/10.1177/0266666915597546},

year  = {2016},

date = {2016-01-01},

journal = {Information Development},

volume = {32},

number = {5},

pages = {1306-1321},

abstract = {In this study the perceived value construct of the Unified Theory of Acceptance and Use of Technology (UTAUT2) is investigated in the context of a learning management system (LMS), in which the construct is redefined from its original price value conceptualization. It was found that many researchers simply ignore the price value construct when applying the UTAUT2 model in technology use studies in the educational context. This study extends the UTAUT2 framework by integrating the learning value construct and provides fresh insight about predictors of students' intentions towards LMS and its use. A quantitative research approach was employed by utilizing a closed-ended questionnaire to collect data from Malaysian university students who were users of LMS. Probability proportional stratified sampling was employed to select an appropriate sample. The results indicated a good measurement and structural model fit and suggested the significant influence of performance expectancy, social influence and learning value on students' intention towards LMS and also confirmed the influence of facilitating conditions and behavioral intention on LMS use. The extended UTAUT2 framework helps in understanding students' perceived value in the LMS context. Furthermore, this study will help institutions to consider the factors for successful implementation of an LMS in an academic setting.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ul-ain_1704,

title = {Perceived learning outcomes from Moodle: An empirical study of intrinsic and extrinsic motivating factors},

author = {Noor Ul-Ain},

url = {https://doi.org/10.1177/0266666915581719},

year  = {2016},

date = {2016-01-01},

journal = {Information Development},

volume = {32},

number = {4},

pages = {1001-1013},

abstract = {This study explores the intrinsic and extrinsic features of Moodle learning managements system and how these features motivate students to use an e-learning portal, which subsequently influences their perceived learning effectiveness and academic performance. Theoretical underpinning of motivation theory, self-determination theory (SDT), and cognitive evaluation theory (CET) is used to design the framework. The quantitative empirical research to test the hypothesized relationships was conducted on 276 online students in Pakistan who use Moodle for online learning. By analysing the responses using AMOS, the findings reveal that both the intrinsic motivators (communication module features, course content module features and course delivery module features) and extrinsic motivator (assignment module feature) significantly influence the students' perceived learning effectiveness, which results in improve academic performance.},

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pubstate = {published},

tppubtype = {article}

}