Adoption of enterprise mobile systems – An alternative theoretical perspective

Choudhary, Praveen K.; Routray, Susmi; Upadhyay, Parijat; Pani, Ashis K.

doi:10.1016/j.ijinfomgt.2022.102539

Cited by 9 publications

(11 citation statements)

References 103 publications

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“…This research also contributes to the literature by demonstrating the effectiveness of the service-dominant (SD) logic framework in explaining IT use and employee outcomes. Traditional theories related to technology adoption do not fully explain employees' use of mobile enterprise systems and app use (Choudhary et al, 2022). This study builds on the emerging literature on engagement and co-creation by integrating the experience-based perspectivesuser experience (UX) and customer experience (CX)with SD logic.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Mobile business apps and employee productivity

Rokonuzzaman,

Alhidari,

Harun

et al. 2023

IMDS

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PurposeHoping to increase the productivity of their employees, firms provide and expect their employees to use approved mobile apps. However, despite an intuitive appeal, the relationship between information technology usage and productivity is still seen as paradoxical. This study examines the relationship between employees' experience and engagement with business mobile apps provided by employers and its effects on employee work productivity.Design/methodology/approachData from respondents who use employer-provided business apps were used to test the hypotheses. Measurement-corrected latent scores extracted from the PLS measurement evaluation were used in regression-centric assessment using PROCESS.FindingsResults indicate that employee-users’ experience-based attributions of the business app, i.e. customization, performance quality and compatibility, have positive effects on productivity mediated by participation intensity. Further, work type (retail vs non-retail) and the depth of the employee user’s experience moderate experience-based attributions' indirect effects on productivity.Originality/valueUnlike previous studies delving into this topic, this study focuses solely on the mediation and moderation effects for hypothesis testing. Specifically, this study investigates effects conditional on work type (retail vs non-retail), which the authors believe has significant implications for retailing. These findings have interesting implications for both future research and managers.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Mobile business apps and employee productivity

Rokonuzzaman,

Alhidari,

Harun

et al. 2023

IMDS

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“…In order to enable the mobile robot to complete the tasks of navigation and move, identification and grasping, the hardware system of the mobile robot needs to be composed of three parts: mobile system, manipulator system and sensor system (Choudhary et al, 2022).…”

Section: Hardware Systemmentioning

confidence: 99%

A Mixed Fast-RRT-A To Solve the Problem of Generating Nodes near Obstacles for Optimal Paths

Suwoyo

Hidayat

Abdurohman

et al. 2022

IJEC

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This paper will focus on the application of machine vision in mobile robots and take moving to the appropriate position and grasping the designated target as the task. This paper will describe and simulate the vision technology that mobile robots need to apply in the task process. This paper mainly uses the camera as the sensor. The difficulties of vision technology are mainly divided into three parts: scene depth information acquisition, positioning and mapping, and image processing. In order to obtain the depth information of the scene, this paper mainly introduces the depth information acquisition methods of monocular camera and binocular camera. In the aspect of localization and mapping, this paper mainly introduces the simulation of visual odometer to understand the basic process of mobile robot obtaining navigation map and its own route. Then, the gray gradient 2D maximum entropy algorithm is introduced to segment the scene and target, and extract features to judge the required target. Compared with other segmentation algorithms, the gray gradient 2D maximum entropy algorithm has higher segmentation accuracy, but the operation time is longer. This paper has simply optimized its operation efficiency. Finally, this paper describes the positioning method of grasping the object with a two degree of freedom manipulator using the knowledge of inverse kinematics. Because of the epidemic situation, schools cannot obtain experimental equipment. This paper mainly demonstrates the effectiveness of the algorithm through simulation.

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“…More importantly, apart from the added value to consumers' lifestyle, mobile payment services are of firms' concern because they reduce transaction costs and enhance loyalty, while the massive data collected (e.g. consumption pattern and amount of expenditure) yield insights into formulating effective marketing strategies (Choudhary et al, 2022;Dwivedi et al, 2022;Tan et al, 2022;Wong et al, 2022). With new entrants touting their services and products, competition in the mobile payment market is getting everintense.…”

Section: Introductionmentioning

confidence: 99%

How to generate loyalty in mobile payment services? An integrative dual SEM-ANN analysis

Dang

Tan

et al. 2023

IJBM

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PurposeThe surging entrance of new mobile payment merchants into the growing market has prompted the need for an in-depth understanding of loyalty formation to retain customers. This study examines customers' loyalty generation process in mobile payment services by exploring the serial effect of cognitive drivers (i.e. brand awareness, perceived quality, brand image, perceived value and layout) on affective response, satisfaction and loyalty.Design/methodology/approachA survey using self-administered questionnaires was conducted. The data was collected from 370 consumers who have experience using mobile payment services in Vietnam. The data were submitted to partial least square structural equation modeling (PLS-SEM) and artificial neural networks (ANN) analysis.FindingsThe results indicated that all the proposed cognitive drivers show significant impacts on affective response, which, in turn, translates into satisfaction and loyalty. The post-hoc analysis revealed enjoyment as the vital affective response in determining satisfaction. Moreover, the multigroup analysis indicated that the relationship between affective response and satisfaction is stronger for the female group. In addition, the ANN's nonlinear result revealed complementary insight into the importance of cognitive drivers.OriginalityThe current study revealed both linear and nonlinear mechanisms that explicate the roles of cognitive drivers and affective responses in fostering loyalty toward mobile payment merchants. The findings add to the existing literature that emphasizes consumers' initial mobile payment adoption.

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Adoption of enterprise mobile systems – An alternative theoretical perspective

Cited by 9 publications

References 103 publications

Mobile business apps and employee productivity

Mobile business apps and employee productivity

A Mixed Fast-RRT-A To Solve the Problem of Generating Nodes near Obstacles for Optimal Paths

How to generate loyalty in mobile payment services? An integrative dual SEM-ANN analysis

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Adoption of enterprise mobile systems – An alternative theoretical perspective

Cited by 9 publications

References 103 publications

Mobile business apps and employee productivity

Mobile business apps and employee productivity

A Mixed Fast-RRT*-A* To Solve the Problem of Generating Nodes near Obstacles for Optimal Paths

How to generate loyalty in mobile payment services? An integrative dual SEM-ANN analysis

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Product

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A Mixed Fast-RRT-A To Solve the Problem of Generating Nodes near Obstacles for Optimal Paths