S. Smys, Joy Iong-Zong Chen, Shahed Mohammadi and Álvaro Rocha
V. Bindhu V, Joy Iong-Zong Chen, Badrul Hisham Bin Ahmad and Faizal Khan
Joy Iong-Zong Chen, Ping-Feng Huang and Chung Sheng Pi
Apart from, the smart edge computing (EC) robot (SECR) provides the tools to manage Internet of things (IoT) services in the edge landscape by means of real-world test-bed…
Abstract
Purpose
Apart from, the smart edge computing (EC) robot (SECR) provides the tools to manage Internet of things (IoT) services in the edge landscape by means of real-world test-bed designed in ECR. Eventually, based on the results from two experiments held in little constrained condition, such as the maximum data size is 2GB, the performance of the proposed techniques demonstrate the effectiveness, scalability and performance efficiency of the proposed IoT model.
Design/methodology/approach
Certainly, the proposed SECR is trying primarily to take over other traditional static robots in a centralized or distributed cloud environment. One aspect of representation of the proposed edge computing algorithms is due to challenge to slow down the consumption of time which happened in an artificial intelligence (AI) robot system. Thus, the developed SECR trained by tiny machine learning (TinyML) techniques to develop a decentralized and dynamic software environment.
Findings
Specifically, the waste time of SECR has actually slowed down when it is embedded with Edge Computing devices in the demonstration of data transmission within different paths. The TinyML is applied to train with image data sets for generating a framework running in the SECR for the recognition which has also proved with a second complete experiment.
Originality/value
The work presented in this paper is the first research effort, and which is focusing on resource allocation and dynamic path selection for edge computing. The developed platform using a decoupled resource management model that manages the allocation of micro node resources independent of the service provisioning performed at the cloud and manager nodes. Besides, the algorithm of the edge computing management is established with different path and pass large data to cloud and receive it. In this work which considered the SECR framework is able to perform the same function as that supports to the multi-dimensional scaling (MDS).
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Patricio Esteban Ramírez-Correa, Elizabeth E. Grandón and Jorge Arenas-Gaitán
The purpose of this paper is to determine differences in customers’ personal disposition to online shopping.
Abstract
Purpose
The purpose of this paper is to determine differences in customers’ personal disposition to online shopping.
Design/methodology/approach
The research model was proposed based on two types of purchases (hedonic vs utilitarian) and on personal traits of individuals against technology throughout the Technology Readiness Index (TRI) 2.0. Generation and gender were considered to evaluate their impact on the type of purchases. Consumers’ data were collected in Chile through 788 face-to-face surveys. The partial least squares approach was used to test the research model.
Findings
The findings show that optimism and discomfort influence online shopping. Moreover, generation and gender moderate the relationship between the dimensions of the TRI and online purchases.
Originality/value
The contributions of this study are threefold. The analysis of personal traits and the type of purchases contribute to the existing literature on consumer behavior and e-commerce, and provide some insights for marketers to identify segmentation strategies by analyzing the gender and generation of individuals. Second, this study contributes to examining the stability and invariances of the TRI 2.0 instrument, which has not been fully revised in less developed countries. Third, this study adds to the existing body of research that argues that demographic variables are not sufficient to understand technology adoption by individuals by including psychological variables.
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The primary objective of this investigation was to explore how employees’ utilization of social media for work-related purposes impacts their service innovation behavior, both…
Abstract
Purpose
The primary objective of this investigation was to explore how employees’ utilization of social media for work-related purposes impacts their service innovation behavior, both directly and through the intermediary mechanisms of knowledge management and employees’ risk-taking.
Design/methodology/approach
In developing its conceptual framework, this study has drawn upon the stimulus-organism-response (SOR) theory. To test its hypotheses, this study has surveyed 241 financial analysts from ten Iranian financial companies and has employed variance-based structural equation modeling (specifically, PLS-SEM) with the assistance of “WarpPLS 8.0 software.”
Findings
The findings revealed that employees’ work-related use of social media positively influences their service innovation behavior using knowledge management, encompassing knowledge sharing and acquisition capability as well as employee risk-taking. However, this influence is not directly significant.
Originality/value
To the best of our knowledge, this study marks the first instance in which the effect of work-related use of social media on employee service innovation behavior directly and through the mediating roles of knowledge management and risk-taking has been investigated through the lens of the SOR paradigm, especially in the financial sector.
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This study aims to show that employees' excessive work-related use of enterprise social networks (ESN) can be accompanied by some work-related strains, hindering them from…
Abstract
Purpose
This study aims to show that employees' excessive work-related use of enterprise social networks (ESN) can be accompanied by some work-related strains, hindering them from continuing utilization of ESN at work. To this end, the impact of employees' excessive work-related utilization of ESN on their discontinuous usage intentions by mediating roles of employees' impression management concerns, privacy concerns and ESN fatigue will be evaluated.
Design/methodology/approach
Stimulus-organisms-response (S-O-R) framework has been drawn to support the design of this research. Using an entirely random data collection, 173 ESN users from 10 Iranian organizations were surveyed. The model was assessed using partial least squares structural equations modeling (PLS-SEM).
Findings
The results of the study confirm that employees' excessive work-related use of ESN positively affects impression management and privacy concerns, resulting in ESN fatigue. Furthermore, ESN fatigue plays a predicting role in ESN discontinuous usage intention.
Originality/value
According to the obtained results, if work-related use of ESN exceeds a normal threshold (i.e. excessive usage), employees will stop using ESN in their work due to the work-related strains delivered to them, revealing the dark side of ESN usage in organizations.
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Cassandra Yi Rong Chan and Suhaiza Zailani
The lack of a direct link between business value and sustainability is a critical roadblock to truly embedding sustainability in business strategies. Before launching the…
Abstract
Purpose
The lack of a direct link between business value and sustainability is a critical roadblock to truly embedding sustainability in business strategies. Before launching the sustainability journey, every organisation should answer the question: “What value would this strategy offer our organisation?” Conversely, when organisations are opportunistic toward quick profits, the negative consequences of one domain spill over to another. The desire to produce more may result in overproduction, overconsumption or environmental pollution.
Design/methodology/approach
To give a complete analysis of sustainable capabilities, this study combines current theoretical understanding from past literature, followed by exploratory interviews and a thorough case study. The case study ventured into uncharted territories, unveiling an exciting new sphere of value catalysed by the mechanisms of sustainable co-creation. Additionally, it exposed thought-provoking motives driving supply chain actors’ unwavering commitment to ethical decision-making, even amidst towering challenges.
Findings
Our empirical lens reveals the hidden mechanics of resource sharing and the genesis of newfound value, illuminating previously obscure corners of the sustainability field. Moreover, it sheds light on retailers striving to cultivate green retail supply chains. It delivers an actionable framework that bolsters business sustainability and fuels competitive edge, which is vital in the rapidly evolving landscapes of emerging economies.
Originality/value
This study offers insights into the sustainable value-creation mechanism in ALPHA, a Malaysian retailer, uncovering how supply chain actors’ business activities generate economic, social and environmental performance.
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Noorjahan Banon Teeluckdharry, Viraiyan Teeroovengadum and Ashley Keshwar Seebaluck
The paper provides a step-by-step guide in the guise of a roadmap for service improvement initiatives using importance performance map analysis (IPMA).
Abstract
Purpose
The paper provides a step-by-step guide in the guise of a roadmap for service improvement initiatives using importance performance map analysis (IPMA).
Design/methodology/approach
To empirically illustrate how IPMA can be applied to any service industry, three sectors are considered; sports and fitness (study A), hospitality (study B) and higher education (study C). Following the proper selection of measuring instruments and their evaluation using structural equation modeling-partial least squares (Smart-PLS), IPMA is applied to identify those attributes having strong total effects (high importance) over the targeted construct (satisfaction) but which also have low average latent variable scores (low performance).
Findings
For sports and fitness (study A), the physical aspects and programme quality require managerial attention. For the hospitability sector (study B), it is service commitment, interaction quality and internal sense of happiness. Whereas for higher education (study C), it is administrative quality as well as the element of transformative quality, namely the university’s role in adding to its students’ emotional stability, which needs the attention of the top management.
Originality/value
This study provides researchers and practitioners with a roadmap for applying PLS-SEM and IPMA for continuous service quality improvement. The roadmap extends upon Ringle and Sarstedt’s (2016) work. It highlights critical decisions that need to be considered in the pre-analytical stages of the IPMA application, i.e. at the research design phase in selecting the most appropriate service quality measurement model specifications. It not only contributes to the existing body of knowledge by providing empirical evidence to advance theory development in the quality management field but also has implications for the practitioners in any service sector on where to focus their attention for an effective service improvement.