This study identifies the effectiveness and efficiency resulting from management information system (MIS) use. Organisational effectiveness and efficiency can be assessed by…
Abstract
This study identifies the effectiveness and efficiency resulting from management information system (MIS) use. Organisational effectiveness and efficiency can be assessed by examining customer service, financial management, and operations management. For the case of JDI company, in terms of customer service, MIS has increased the output of the users, which is easily accessed and produced; it delivers reliable output for its users and has a friendly interface, and users have minimal difficulty in using the MIS. In terms of operations management, their MIS can deliver accurate data, and information is easily accessed by its users. Employees can organise their work and time more efficiently, as their idle time is significantly distressed. About financial investment, their MIS also paved the way to create a better understanding regarding the company’s financial data; it has more benefits than costs and has helped in making better decisions.
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Suzanne Zivnuska, Ken Harris, Matthew Valle, Ranida Harris, John Carlson and Dawn S. Carlson
This research provides an empirical test of Andersson and Pearson’s (1999) theoretical incivility spiral. Rather than investigate the incidence of incivility perpetration…
Abstract
Purpose
This research provides an empirical test of Andersson and Pearson’s (1999) theoretical incivility spiral. Rather than investigate the incidence of incivility perpetration following incivility victimization in face-to-face interactions, this study tests for evidence of an incivility spiral due to communications enacted through information and communication technology (ICT) based on affective events theory (AET) (Weiss and Cropanzano, 1996). Further, the moderating impacts of both gender and incivility climate on this relationship are considered.
Design/methodology/approach
The sample for this Time 1–Time 2 survey-based research was comprised of 354 full-time working adults from a wide range of organizations. We employed hierarchical moderated regression analyses as our primary data analytic technique.
Findings
Results demonstrate that victims of ICT incivility at Time 1 are likely to be perpetrators of ICT incivility at Time 2. Furthermore, this relationship is stronger for men than it is for women and is exacerbated in cultures that have a low tolerance for ICT incivility.
Originality/value
This is the first known test of the incidence of an incivility spiral due to communications enacted through ICT. There is special cause for concern given the often-impersonal nature of ICT use (and abuse) in organizations. Individuals may feel emboldened by the distance and perceived safety ICT mediation affords and may be less likely to moderate their online interactions with colleagues. Absent the physical intimacy and non-verbal signals that face-to-face interactions provide, individuals may be more likely to perpetuate incivility in ICT interactions even if there is no implicit intent to harm others.
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Xingrui Zhang, Yunpeng Wang, Eunhwa Yang, Shuai Xu and Yihang Yu
The purpose of the paper is twofold: first, to observe the relationship between sale to list ratio (SLR)/ for-sale inventory (FSI)/ sale count nowcast (SCN) and real/nominal…
Abstract
Purpose
The purpose of the paper is twofold: first, to observe the relationship between sale to list ratio (SLR)/ for-sale inventory (FSI)/ sale count nowcast (SCN) and real/nominal housing value, and second, to produce a handbook of empirical evidence that can serve as a foundation for future research on this topic.
Design/methodology/approach
This paper broadly compiles empirical evidence, using three of the most common causality tests in the field of housing economics. The analysis methods include lagged Pearson correlation test, Granger causality test and cointegration test.
Findings
Causal relationships were observed between SLR/FSI/SCN and both nominal and real housing values. SLR and SCN showed positive long-term correlations with housing value, whereas FSI had a negative correlation. Adjusting the housing value with the Consumer Price Index (CPI) to derive real housing values could potentially alter the direction of the causal relationships. It is crucial to distinguish the long-term relationship from temporal dynamics, as FSI displayed a positive immediate impulse–response relationship with nominal housing price despite the negative long-term correlation.
Originality/value
SLR/FSI/SCN are housing market parameters that have only recently begun to be documented and have seen little use in research. So far, housing market research has revolved around traditional macroeconomic indicators such as unemployment rate. To the best of the authors’ knowledge, this study is one of the first studies that introduce these three parameters into housing market research.
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Atefeh Momeni, Mitra Pashootanizadeh and Marjan Kaedi
This study aims to determine the most similar set of recommendation books to the user selections in LibraryThing.
Abstract
Purpose
This study aims to determine the most similar set of recommendation books to the user selections in LibraryThing.
Design/methodology/approach
For this purpose, 30,000 tags related to History on the LibraryThing have been selected. Their tags and the tags of the related recommended books were extracted from three different recommendations sections on LibraryThing. Then, four similarity criteria of Jaccard coefficient, Cosine similarity, Dice coefficient and Pearson correlation coefficient were used to calculate the similarity between the tags. To determine the most similar recommended section, the best similarity criterion had to be determined first. So, a researcher-made questionnaire was provided to History experts.
Findings
The results showed that the Jaccard coefficient, with a frequency of 32.81, is the best similarity criterion from the point of view of History experts. Besides, the degree of similarity in LibraryThing recommendations section according to this criterion is equal to 0.256, in the section of books with similar library subjects and classifications is 0.163 and in the Member recommendations section is 0.152. Based on the findings of this study, the LibraryThing recommendations section has succeeded in introducing the most similar books to the selected book compared to the other two sections.
Originality/value
To the best of the authors’ knowledge, itis for the first time, three sections of LibraryThing recommendations are compared by four different similarity criteria to show which sections would be more beneficial for the user browsing. The results showed that machine recommendations work better than humans.
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Xinyue Hao, Emrah Demir and Daniel Eyers
The purpose of this study is to provide a holistic understanding of the factors that either promote or hinder the adoption of artificial intelligence (AI) in supply chain…
Abstract
Purpose
The purpose of this study is to provide a holistic understanding of the factors that either promote or hinder the adoption of artificial intelligence (AI) in supply chain management (SCM) and operations management (OM). By segmenting the AI lifecycle and examining the interactions between critical success factors and critical failure factors, this study aims to offer predictive insights that can help in proactively managing these factors, ultimately reducing the risk of failure, and facilitating a smoother transition into AI-enabled SCM and OM.
Design/methodology/approach
This study develops a knowledge graph model of the AI lifecycle, divided into pre-development, deployment and post-development stages. The methodology combines a comprehensive literature review for ontology extraction and expert surveys to establish relationships among ontologies. Using exploratory factor analysis, composite reliability and average variance extracted ensures the validity of constructed dimensions. Pearson correlation analysis is applied to quantify the strength and significance of relationships between entities, providing metrics for labeling the edges in the resource description framework.
Findings
This study identifies 11 dimensions critical for AI integration in SCM and OM: (1) setting clear goals and standards; (2) ensuring accountable AI with leadership-driven strategies; (3) activating leadership to bridge expertise gaps; (4) gaining a competitive edge through expert partnerships and advanced IT infrastructure; (5) improving data quality through customer demand; (6) overcoming AI resistance via awareness of benefits; (7) linking domain knowledge to infrastructure robustness; (8) enhancing stakeholder engagement through effective communication; (9) strengthening AI robustness and change management via training and governance; (10) using key performance indicators-driven reviews for AI performance management; (11) ensuring AI accountability and copyright integrity through governance.
Originality/value
This study enhances decision-making by developing a knowledge graph model that segments the AI lifecycle into pre-development, deployment and post-development stages, introducing a novel approach in SCM and OM research. By incorporating a predictive element that uses knowledge graphs to anticipate outcomes from interactions between ontologies. These insights assist practitioners in making informed decisions about AI use, improving the overall quality of decisions in managing AI integration and ensuring a smoother transition into AI-enabled SCM and OM.
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Tai Wai Kwok, SiWei Chang and Heng Li
The unitized curtain wall system (UCWS), a symbol of modern architecture, is gaining popularity among prefabricated components. Previous studies have focused on both construction…
Abstract
Purpose
The unitized curtain wall system (UCWS), a symbol of modern architecture, is gaining popularity among prefabricated components. Previous studies have focused on both construction technology advances and material selection strategies to facilitate the UCWS. However, the topic of client satisfaction, which drives industry development by targeting clients' demands, has gone unnoticed. Therefore, the current study aims to investigate client satisfaction with UCWS products in Hong Kong by finding its influential factors.
Design/methodology/approach
A systematic review was employed to first identify the influential factors. A semi-structured interview was employed to validate the reliability of the extracted factors. The machine learning algorithm Extreme Gradient Boosting (XGBoost) and the Pearson correlation were then employed to rank the importance and correlation of factors based on the 1–5 Likert scale scores obtained through a questionnaire survey.
Findings
The findings revealed that “reduction in construction time” and “reduction in construction waste” are the most important factors and have a strong positive influence on client satisfaction.
Originality/value
Unlike previous studies, the present study focused on a novel research topic and introduces an objective analysis process using machine learning algorithms. The findings contribute to narrowing the knowledge gap regarding client preference for UCWS products from both individual and collaborative perspectives, providing decision-makers with an objective, quantitative and thorough reference before making investments in the curtain wall management development.
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Ahmed M. Abdel-Khalek, Ahmad Mohammad Alzoubi, David Lester and Salaheldin Farah Attallah Bakhiet
The purpose of this study is the same as those of the preceding 16 studies on happiness, health and religion, and they are as follows: to estimate the mean scores and the…
Abstract
Purpose
The purpose of this study is the same as those of the preceding 16 studies on happiness, health and religion, and they are as follows: to estimate the mean scores and the sex-related differences in the study scales; to examine the associations between the study scales; to investigate the principal components; and to compare the present results with the previous findings.
Design/methodology/approach
A non-probability sample of university students in the United Arab Emirates was selected by the “snowball” sample method. To overcome the issue of people refusing to participate in the study, this method was used in the selection process due to the challenge of sampling students in all the universities across the nation, which makes it difficult to choose a probability sample. The approval of the Ethics Committee was obtained from Ajman University to apply the study tools, and then the students were given the choice through open announcement to participate in the study and circulate it to other students at Ajman University.
Findings
Results showed that men had significantly higher mean ratings on mental health, physical health and happiness than did women. All the Pearson correlations between the scales were significant for men. Except for the correlations between religiosity and both happiness and mental health, all correlations between the scales for women were significant. A principal components analysis extracted one component for men which was labeled “Well-being and religiosity”, whereas two components were retained for the women which were labeled “Well-being” and “Religiosity and physical health”. Comparing the present sample’s mean happiness score to that of prior students from 16 other countries revealed that it was higher and consistent with other scores from rich Arab nations with a high GDP per capita (such as Qatar, Kuwait, Saudi Arabia and Oman). In conclusion, happiness was found to be associated with mental and physical health in both men and women, as well as religiosity in men.
Research limitations/implications
Despite the strengths of the current investigation, i.e. the large sample size and the good to high reliability and validity properties of the scales, some limitations have to be acknowledged. First, the convenience and non-probability sample. Second, university students are a special segment of any country. Their age range is limited, and they probably have greater intelligence and more education compared to the general population. Therefore, a replication of the present study using a probability sample from the general population is needed.
Practical implications
SPSS (2009) was used for data analysis. Means, standard deviations, t-tests, d for effect size, Pearson product moment correlation coefficients and principal components analysis were used. For the principal components analysis, the Kaiser criterion (i.e. eigenvalue > 1.0) and the scree plot were used to define the number of components to be retained.
Originality/value
To the best of the authors’ knowledge, this is the first study about happiness in United Arab Emirates.
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Ayisha Zulfiqar and Ayesha Khalid
This study aims to evaluate students' satisfaction with university library services in southern Punjab, Pakistan, emphasizing their perspective on service quality (SQ).
Abstract
Purpose
This study aims to evaluate students' satisfaction with university library services in southern Punjab, Pakistan, emphasizing their perspective on service quality (SQ).
Design/methodology/approach
A LibQUAL+® survey with 22 core items was conducted within university settings using convenience sampling. In total, 345 usable responses were returned through Google Forms. Data analysis involved descriptive statistics, ordinal logistic regression test, Pearson and Deviance statistics and chi-square test to assess the satisfaction status of library users.
Findings
The study found that libraries generally meet SQ standards. However, there were minor gaps in information control (IC) and library as place (LP).
Practical implications
The study provides library administrators with actionable insights to enhance services, encouraging stakeholders to adopt optimal library practices for heightened efficiency and user satisfaction.
Social implications
It highlights the crucial role of libraries in shaping future societal progress by emphasizing the need for elevated user services. Librarians can use this knowledge to modify their planning and take impactful initiatives that align with the evolving needs of their users.
Originality/value
While many studies have utilized LibQUAL, this research is unique for its focus on addressing university library services in underdeveloped regions facing economic challenges. It attempts to fill the information gap by offering a transferable approach for strategic priorities in similar settings.
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Narimene Dakiche, Karima Benatchba, Fatima Benbouzid-Si Tayeb, Yahya Slimani and Mehdi Anis Brahmi
This paper aims to introduce a novel modularity-based framework, Com_Tracker, designed to detect and track community structures in dynamic social networks without recomputing them…
Abstract
Purpose
This paper aims to introduce a novel modularity-based framework, Com_Tracker, designed to detect and track community structures in dynamic social networks without recomputing them from scratch at each snapshot. Despite extensive research in this area, existing approaches either require repetitive computations or fail to capture key community behavioral events, both of which limit the ability to generate timely and actionable insights. Efficiently tracking community structures is crucial for real-time decision-making in rapidly evolving networks, while capturing behavioral events is necessary for understanding deeper community dynamics. This study addresses these limitations by proposing a more efficient and adaptive solution. It aims to answer the following questions: How can we efficiently track community structures without recomputation? How can we detect significant community events over time?
Design/methodology/approach
Com_Tracker models dynamic social networks as a sequence of snapshots. First, it detects the community structure of the initial snapshot using a static community detection algorithm. Then, for each subsequent time step, Com_Tracker updates the community structure based on the previous snapshot, allowing it to track communities and detect their changes over time. The locus-based adjacency encoding scheme is adopted, and Pearson’s correlation guides the construction of neighboring solutions.
Findings
Experiments conducted on various networks demonstrate that Com_Tracker effectively detects community structures and tracks their evolution in dynamic social networks. The results highlight its potential for real-time tracking and provide promising performance outcomes.
Practical implications
Com_Tracker offers valuable insights into community evolution, helping practitioners across fields such as resource management, public security, marketing and public health. By understanding how communities evolve, decision-makers can better allocate resources, enhance targeted strategies and predict future community behaviors, improving overall responsiveness to changes in network dynamics.
Originality/value
Com_Tracker addresses critical gaps in existing research by combining the strengths of modularity maximization with efficient tracking of community changes. Unlike previous methods that either recompute structures or fail to capture behavioral events, Com_Tracker provides an incremental, adaptive framework capable of detecting both community evolution and behavioral changes, enhancing real-world applicability in dynamic environments.
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Muhammad Mujtaba Asad and Syeda Sabika Fatima
Cyber violence is a global emerging issue which is growing with technology or online spaces, having a great influence on individual’s development. The purpose of this study is to…
Abstract
Purpose
Cyber violence is a global emerging issue which is growing with technology or online spaces, having a great influence on individual’s development. The purpose of this study is to identify the dominant factors of cyber violence and its influence on the cognitive development of female undergraduate students.
Design/methodology/approach
In this quantitative study, a questionnaire is used as a data collection tool. Moreover, this research is conducted on female undergraduate students (n = 300). Whereas, the purposive sampling technique is used and Statistical Package for Social Science (SPSS 27.0) software is used to analyze the data.
Findings
The findings of this study show that cyber bullying is the dominant factor of cyber violence, whereas cyber doxxing has high influence on cognitive development of female undergraduate students. In addition, the value of correlational coefficient is 0.683, which indicates a strong positive correlation. Therefore, it supports that the null hypothesis is rejected and alternative hypothesis is accepted.
Practical implications
The findings of this study are of great importance for policymakers to update the regulations for cyber violence and provide the protection laws for victims whereas it is helpful for the investigation agencies and cybercrime units to be more active and needs to take immediate actions on reported incidents to minimize its further spread and support victims of it. Also, it helps society to understand the influence of it on cognitive health, which helps them to create a safer environment. Similarly, parents and teachers need to make a safe and comfortable environment around children and keep an eye on them. Further, it is beneficial for companies or online platforms to keep their sites or apps more secure for the users. Moreover, future research studies could expand the topic by involving different genders and age group peoples by using different methodologies to explore in depth.
Originality/value
This study is unique as there are limited studies, which identify the factor of cyber violence and its influence on cognitive development. Also, fewer studies can be seen in the context of Pakistan.