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Article

Dan-Andrei Sitar-Taut and Daniel Mican

This paper investigates if the existing degree of students' acceptance and use of mobile or m-learning may face the online shift determined by SARS-CoV-2. Based on the…

Abstract

Purpose

This paper investigates if the existing degree of students' acceptance and use of mobile or m-learning may face the online shift determined by SARS-CoV-2. Based on the extended unified theory of acceptance and use of technology (UTAUT2), a new comprehensive model, SD-UTAUT (social distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention (BI) and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators.

Design/methodology/approach

The paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling (PLS-SEM).

Findings

SD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between performance expectancy (PE) and HM. IQ affected LV the most, since HM the behavioral use (BU). HM impacts the use behavior (UB) more than LV, but habit (HT) affects it the most.

Research limitations/implications

Because of the pandemic context, output may lack generalizability and reproducibility.

Practical implications

To improve usage, staff must provide better support, course creators emphasize the objectives and competencies and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the LV through interesting and interactive content, like incorporating gamification.

Originality/value

The model set-up and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces the student's grade point average (GPA) as a moderator.

Peer review

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-01-2021-0017

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

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Article

Pallavi Pradeep Khobragade and Ajay Vikram Ahirwar

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year…

Abstract

Purpose

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Design/methodology/approach

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Findings

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Practical implications

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

Originality/value

The findings provide valuable results to be considered for controlling air pollution in the region.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

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Article

Amit Shankar, Aviral Kumar Tiwari and Manish Gupta

This study aims at identifying critical success factors of a sustainable mobile banking application using text mining approach.

Abstract

Purpose

This study aims at identifying critical success factors of a sustainable mobile banking application using text mining approach.

Design/methodology/approach

A total of 6,073 consumer reviews relating to a mobile banking application were collected and analyzed to meet the study objective. Latent Semantic Analysis (LSA) was done to identify the critical success factors of a sustainable mobile banking application.

Findings

The results indicated that privacy and security, navigation, customer support, convenience and efficiency are the key factors.

Research limitations/implications

The study findings enrich the mobile banking and sustainable service delivery channel literature.

Practical implications

The results are expected to benefit the bankers in delivering effective banking services through a mobile banking application.

Originality/value

Studies in the sustainability are few yet promising particularly the ones that use rigorous statistics suitable on thousands of data points to accomplish the study objectives.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

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Article

Changlin Wang, Thompson S.H. Teo, Yogesh Dwivedi and Marijn Janssen

Citizen satisfaction with the government is a longstanding and continuous concern in public administration. However, past research did not investigate the effect on…

Abstract

Purpose

Citizen satisfaction with the government is a longstanding and continuous concern in public administration. However, past research did not investigate the effect on satisfaction with the government in the context of mobile government (m-government). The purpose of this paper is to evaluate how the social benefits of citizens using m-government affect their satisfaction with the government.

Design/methodology/approach

Grounded in the uses and gratifications theory (UGT), the authors suggest that the satisfaction in m-government should be constructed in terms of the satisfaction with m-government and the satisfaction with the government. The research model of citizen satisfaction in the context of m-government is tested through partial least squares (PLS) (SmartPLS 2.0) based on data collected from a survey study in China.

Findings

The results indicate that the three important social benefits, e.g. convenience, transparency and participation, are positively associated with process gratification, whereas only convenience is positively associated with content gratification. The results suggest that both process gratification and content gratification are positively associated with citizen satisfaction with the government. Furthermore, the research suggests that process and content gratification have a mediating role, whereas compatibility has a moderating role.

Practical implications

This research provides insights to practitioners on how to facilitate citizen satisfaction by increasing citizens’ social benefits and improving process and content gratification.

Originality/value

This study contributes to the literature by offering a framework for analyzing the impact of citizens’ use of m-government on their satisfaction with the government. The work also contributes to UGT by categorizing user gratifications into process gratifications, content gratifications and citizen satisfaction with the government.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

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Article

Saeed Dinarvand, Seyed Mehdi Mousavi, Mohammad Yousefi and Mohammadreza Nademi Rostami

The purpose of this paper is to study the steady laminar magnetohydrodynamics (MHD) flow of a magnesium oxide-silver/water hybrid nanofluid along a horizontal slim needle…

Abstract

Purpose

The purpose of this paper is to study the steady laminar magnetohydrodynamics (MHD) flow of a magnesium oxide-silver/water hybrid nanofluid along a horizontal slim needle with thermal radiation by considering dual solutions.

Design/methodology/approach

It is assumed that the needle can move in the same or opposite direction of the free stream. Also the solid phase and fluid phase are in thermal equilibrium. The basic partial differential equations become dimensionless using a similarity transformation method. Moreover, problem coding is accomplished using the finite difference method. The emerging parameters are nanoparticles mass (0–40 gr), base fluid mass (100 gr), needle’s size (0.001–0.2), magnetic field parameter, velocity ratio parameter, radiation parameter and Prandtl number (6.2).

Findings

With help of the stability analysis, it is shown that always the first solutions are physically stable. Results indicate that the magnetic parameter and the second nanoparticle’s mass limit the range of the velocity ratio parameter for which the solution exists. Besides, the magnetic parameter leads to decrease of quantities of engineering interest, i.e. skin friction coefficient and local Nusselt number.

Originality/value

To the best of the authors’ knowledge, no one has ever attempted to study the present problem through a mass-based model for hybrid nanofluid. Moreover, the dual solutions for the problem are new. Indeed, the results of this paper are purely original and the numerical achievements were never published up to now. Finally, the authors expect that the present investigation would be useful in hot-wire anemometer or shielded thermocouple for measuring the velocity of the wind, etc.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0961-5539

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Article

Mohamed Haddache, Allel Hadjali and Hamid Azzoune

The study of the skyline queries has received considerable attention from several database researchers since the end of 2000's. Skyline queries are an appropriate tool…

Abstract

Purpose

The study of the skyline queries has received considerable attention from several database researchers since the end of 2000's. Skyline queries are an appropriate tool that can help users to make intelligent decisions in the presence of multidimensional data when different, and often contradictory criteria are to be taken into account. Based on the concept of Pareto dominance, the skyline process extracts the most interesting (not dominated in the sense of Pareto) objects from a set of data. Skyline computation methods often lead to a set with a large size which is less informative for the end users and not easy to be exploited. The purpose of this paper is to tackle this problem, known as the large size skyline problem, and propose a solution to deal with it by applying an appropriate refining process.

Design/methodology/approach

The problem of the skyline refinement is formalized in the fuzzy formal concept analysis setting. Then, an ideal fuzzy formal concept is computed in the sense of some particular defined criteria. By leveraging the elements of this ideal concept, one can reduce the size of the computed Skyline.

Findings

An appropriate and rational solution is discussed for the problem of interest. Then, a tool, named SkyRef, is developed. Rich experiments are done using this tool on both synthetic and real datasets.

Research limitations/implications

The authors have conducted experiments on synthetic and some real datasets to show the effectiveness of the proposed approaches. However, thorough experiments on large-scale real datasets are highly desirable to show the behavior of the tool with respect to the performance and time execution criteria.

Practical implications

The tool developed SkyRef can have many domains applications that require decision-making, personalized recommendation and where the size of skyline has to be reduced. In particular, SkyRef can be used in several real-world applications such as economic, security, medicine and services.

Social implications

This work can be expected in all domains that require decision-making like hotel finder, restaurant recommender, recruitment of candidates, etc.

Originality/value

This study mixes two research fields artificial intelligence (i.e. formal concept analysis) and databases (i.e. skyline queries). The key elements of the solution proposed for the skyline refinement problem are borrowed from the fuzzy formal concept analysis which makes it clearer and rational, semantically speaking. On the other hand, this study opens the door for using the formal concept analysis and its extensions in solving other issues related to skyline queries, such as relaxation.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

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Article

Sandang Guo, Yaqian Jing and Bingjun Li

The purpose of this paper is to make multivariable gray model to be available for the application on interval gray number sequences directly, the matrix form of interval…

Abstract

Purpose

The purpose of this paper is to make multivariable gray model to be available for the application on interval gray number sequences directly, the matrix form of interval multivariable gray model (IMGM(1,m,k) model) is constructed to simulate and forecast original interval gray number sequences in this paper.

Design/methodology/approach

Firstly, the interval gray number is regarded as a three-dimensional column vector, and the parameters of multivariable gray model are expressed in matrix form. Based on the dynamic gray action and optimized background value, the interval multivariable gray model is constructed. Finally, two examples and comparisons are carried out to verify the effectiveness of IMGM(1,m,k) model.

Findings

The model is applied to simulate and predict expert value, foreign direct investment, automobile sales and steel output, respectively. The results show that the proposed model has better simulation and prediction performance than another two models.

Practical implications

Due to the uncertainty information and continuous changing of reality, the interval gray numbers are used to characterize full information of original data. And the IMGM(1,m,k) model not only considers the characteristics of parameters changing with time but also takes into account information on lower, middle and upper bounds of interval gray numbers simultaneously to make better suitable for practical application.

Originality/value

The main contribution of this paper is to propose a new interval multivariable gray model, which considers the interaction between the lower, middle and upper bounds of interval numbers and need not to transform interval gray number sequences into real sequences. According to combining different characteristics of each bound of interval gray numbers, the matrix form of interval multivariable gray model is established to simulate and forecast interval gray numbers. In addition, the model introduces dynamic gray action to reflect the changes of parameters over time. Instead of white equation of classic MGM(1,m), the difference equation is directly used to solve the simulated and predicted values.

Details

Grey Systems: Theory and Application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-9377

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Article

Abhishek Srivastava, Parimal Kumar and Arqum Mateen

This study analyzes supplier development investment decisions under a triadic setting (two buyers and a common supplier). In a triadic setting, the supplier development…

Abstract

Purpose

This study analyzes supplier development investment decisions under a triadic setting (two buyers and a common supplier). In a triadic setting, the supplier development investment decision of one buyer can have a spillover effect of the benefits on other buyer. Therefore, it is utmost important for the investing buyer to understand the impact of benefit spillover on other competing buyers'. Therefore, one of the purposes of this study to analyze the supplier development investment decision of buyers under two scenarios. First, under cooperative development structure where both buyers jointly invest in supplier and share equal benefits. Second, non-cooperative investment structure where both buyers individually invest in supplier development and share unequal benefits.

Design/methodology/approach

In order to assess the impact of supplier development investment decisions on the profitability of buyers and the common supplier, the authors used game-theoretic approach. The authors design a Stackelberg leader-follower game where the supplier acts as Stackelberg leader and buyers follow the supplier's pricing decision to maximize their profit level. Additionally, both buyers decide either to cooperate or non-cooperate while investing in supplier development.

Findings

The results show that the cooperative investment is always an optimal strategy for buyers and supplier. Interestingly, the efficient buyer's share of investment level is lower under non-cooperative investment structure and he is better-off due to its capability of taking advantage from the other buyer's investment. However, the inefficient buyer, on the other hand, is worse-off under non-cooperative investment. Furthermore, comparative analysis between the two shows that initially, the buyer who extracts more profit because of the other buyers' development investment tends to prefer the non-cooperative development investment set up. However, after a certain point, the same buyer is better-off under cooperative development investment through cooperation, and sharing equal benefit of the supplier's development, as the supplier in turn, starts charging a higher wholesale price under non-cooperative investment case.

Originality/value

To the best of authors’ knowledge, extant literature on supplier development has mostly focused on. One supplier-one buyer; thus, the learning spillover effect has almost been unexplored. In real-life, different buyers often purchase from the shared supplier. Therefore, it is important to analyze the spillover of supplier development benefits due to investment of one buyer on other buyer and deriving the condition under which buyers would be incentivized to invest jointly or individually.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

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Article

Nara Jeong

The purpose of this paper is to examine the role of diversity management on postmergers and acquisitions (M&A) performance. Building on prior literature, it investigates…

Abstract

Purpose

The purpose of this paper is to examine the role of diversity management on postmergers and acquisitions (M&A) performance. Building on prior literature, it investigates whether a firm ability to harmonize people with different backgrounds and to deal with uncertainty and dynamics in the diverse work environment will affect post-M&A performance either directly or through its interactions with acquirer-target characteristics.

Design/methodology/approach

This paper used panel regression analysis on a sample of 218 M&As conducted by listed large US firms across industries.

Findings

Results show that the diversity management of an acquiring firm positively influences post-M&A performance. This paper also finds support for diversity management having a more significant moderating role where merged firms have a bigger size difference and higher industry relatedness.

Originality/value

The primary contribution of this study is in testing and finding evidence to support the claim that diversity management is a useful factor in predicting post-M&A performance. The success of post-M&A integration should be considered alongside the extent of firm capabilities to manage internal diversity.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Content available
Article

Lakehal Belarbi and Hichem Elhendi

Let (M, g) be a n-dimensional smooth Riemannian manifold. In the present paper, the authors introduce a new class of natural metrics denoted by gf and called gradient…

Abstract

Purpose

Let (M, g) be a n-dimensional smooth Riemannian manifold. In the present paper, the authors introduce a new class of natural metrics denoted by gf and called gradient Sasaki metric on the tangent bundle TM. The authors calculate its Levi-Civita connection and Riemannian curvature tensor. The authors study the geometry of (TM, gf) and several important results are obtained on curvature, scalar and sectional curvatures.

Design/methodology/approach

In this paper the authors introduce a new class of natural metrics called gradient Sasaki metric on tangent bundle.

Findings

The authors calculate its Levi-Civita connection and Riemannian curvature tensor. The authors study the geometry of (TM,gf) and several important results are obtained on curvature scalar and sectional curvatures.

Originality/value

The authors calculate its Levi-Civita connection and Riemannian curvature tensor. The authors study the geometry of (TM,gf) and several important results are obtained on curvature scalar and sectional curvatures.

Details

Arab Journal of Mathematical Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1319-5166

Keywords

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