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Investigating the determinants of mobile shopping applications continuance usage intention in the post-COVID-19 pandemic 调查covid -19大流行后移动购物应用程序持续使用意愿的决定因素
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.134426
Razib Chandra Chanda, Ali Vafaei Zadeh, N.A. Syafrizal, Haniruzila Hanifah, Karpal Dara Singh
As COVID-19 evolves and weaken overtime, countries have begun to relax lockdowns, mobility restrictions, and allow businesses and societies to return to normal. Therefore, this study aims to investigate determinants of continuance intention to use mobile applications in the post-pandemic era. Based on the expectation-confirmation theory, the study obtained data from 375 respondents through a quantitative research strategy. The findings of this study show that expectation-confirmation influences satisfaction. Perceived usefulness had a positive influence on both satisfaction and continuance intention to use mobile applications. Customer satisfaction was also found to positively influence continuance intention to use mobile applications. Notably, the study also found that perceived privacy risk negatively moderates the relationship between satisfaction and continuance intention. The study contributes to the continuance intention literature and highlights important factors that can influence customers to continue using mobile applications in the post-pandemic era.
随着COVID-19的演变和逐渐减弱,各国已开始放松封锁和流动限制,允许企业和社会恢复正常。因此,本研究旨在调查在大流行后时代继续使用移动应用程序的意向的决定因素。本研究基于期望-确认理论,通过定量研究策略获得了375名受访者的数据。本研究结果表明,期望-确认影响满意度。感知有用性对移动应用满意度和持续使用意愿均有正向影响。客户满意度对移动应用的持续使用意愿也有正向影响。值得注意的是,研究还发现,感知隐私风险负向调节满意度和继续意愿之间的关系。该研究为延续意向文献做出了贡献,并强调了在大流行后时代可能影响客户继续使用移动应用程序的重要因素。
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引用次数: 0
Determinants of Tunisian multimodal travel choice: a hybrid model based on multinomial logit and wavelet transform 突尼斯多式联运出行选择的决定因素:基于多项logit和小波变换的混合模型
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.10059249
Saloua Benammou, Habiba Abdessalem, Aida Bouzir
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引用次数: 0
Lessons learnt from stakeholder engagement in public infrastructure projects in Australia 澳大利亚公共基础设施项目中利益相关者参与的经验教训
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.10059250
Pranesh Singh Bhoodhoo, Amir Hossein Ghapanchi
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引用次数: 0
Investigating the determinants of mobile shopping applications continuance usage intention in the post covid-19 pandemic 调查covid-19大流行后移动购物应用程序持续使用意愿的决定因素
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.10058885
Karpal Singh Dara Singh, Haniruzila Hanifah, Syafrizal Syafrizal, Razib Chandra Chanda, Ali Vafaei Zadeh
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引用次数: 0
The multi-criteria group decision-making FlowSort method using the output aggregation 采用多准则分组决策的FlowSort方法进行输出聚合
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.134440
Fedia Daami Remadi, Hela Moalla Frikha
Real-life problems are multifaceted in nature and can create ambiguity in decision-making. Consequently, it is difficult to make the scoring criteria precise and to ultimate the exact values of attributes in multi-criteria analysis. Usually, an individual DM cannot make a judgement alone. In fact, he was unable to effectively define the opinions and the favourites of the entire team using multiple criteria, as everyone seeks to demonstrate their personal impact on the process in terms of his individual and team interests. This paper examines one of the sorting methods, named FlowSort, and extends it to multi-criteria group decision-making based on the aggregation of individual sorting result outputs. The evaluation of each alternative is described by lexical terms that can be represented by triangular intuitionistic fuzzy numbers. To validate our extension, an illustrative example and empirical comparison with other multi-criteria decision-making methods is carried out.
现实生活中的问题本质上是多方面的,可能会在决策中产生歧义。因此,在多准则分析中,很难制定准确的评分标准并最终确定准确的属性值。通常,DM不能单独做出判断。事实上,他无法使用多种标准有效地定义整个团队的意见和偏好,因为每个人都试图根据个人和团队的利益来展示他们对过程的个人影响。本文研究了其中一种排序方法FlowSort,并将其扩展到基于单个排序结果输出聚合的多准则群体决策中。每个备选方案的评价用词汇术语来描述,这些词汇术语可以用三角直觉模糊数来表示。为了验证我们的推广,进行了实例分析,并与其他多准则决策方法进行了实证比较。
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引用次数: 0
Measuring dynamic capabilities-based synergies using real options in M&A deals: Amazon's acquisition of Whole Foods 用实物期权衡量并购交易中基于动态能力的协同效应:亚马逊收购全食超市
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.128296
Andrejs Čirjevskis
Dynamic capabilities have become well established as a new imperative for organising M&A processes. However, understanding the full benefits and possible limits of real options applications to measure a dynamic capability-based (managerial) synergies remains a challenge. The author developed three propositions and justified them by application of dynamic capabilities framework and real options theory to highly strategic and not standard M&A deal: Amazon's acquisition of Whole Foods in 2017. The illustrative case study made it possible to bridge together two streams of research on dynamic capabilities and real options. While the empirical application of the dynamic capabilities' framework makes them more visible, the application of the real options is making dynamic capabilities measurable in the M&A deals. In the end, the author discusses theoretical and managerial contributions, limitations, and future work.
动态能力已成为组织并购流程的新必要条件。然而,理解实物期权应用的全部好处和可能的限制,以衡量基于动态能力的(管理)协同效应,仍然是一个挑战。作者将动态能力框架和实物期权理论应用于具有高度战略性和非标准的并购交易:2017年亚马逊收购全食超市,提出了三个命题并进行了论证。说明性的案例研究可以将关于动态能力和实物期权的两种研究方法结合起来。动态能力框架的实证应用使动态能力更加可见,而实物期权的应用则使动态能力在并购交易中更加可衡量。最后,作者讨论了理论和管理的贡献,局限性和未来的工作。
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引用次数: 1
P-Model of inventory optimisation for high technology multi-generation products under limited warehouse storage space 有限仓储空间下高科技多代产品库存优化的p -模型
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.10059247
Udayan Chanda, Gaurav Nagpal
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引用次数: 1
Lessons learnt from stakeholder engagement in public infrastructure projects in Australia 澳大利亚公共基础设施项目中利益相关者参与的经验教训
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.133678
Pranesh Singh Bhoodhoo, Amir Hossein Ghapanchi
Stakeholder engagement has always been a field of concern for project managers. As part of economic growth and better living conditions, governments are investing massively on public infrastructure projects, pressing the urge for project success. This paper seeks to extract lessons learnt from stakeholder engagement in public infrastructure projects in Australia. This study extracts 21 lessons regarding stakeholder management in public infrastructure project from its 3 case studies, and proposes a framework of lessons. These 21 lessons are categorised into conflict/dispute, communication, methodology/tools/techniques, legislation, resource management, relationships/attitude/behaviour, health and safety and project team. To the best of our knowledge, there is no article that has specifically looked into exploring a big picture taxonomy of lessons learnt from stakeholder engagement in public infrastructure projects through multiple case studies.
利益相关者的参与一直是项目经理关注的领域。作为经济增长和改善生活条件的一部分,各国政府正在大规模投资于公共基础设施项目,迫切希望项目取得成功。本文旨在从澳大利亚公共基础设施项目的利益相关者参与中汲取经验教训。本研究从3个案例中提炼出公共基础设施项目利益相关者管理的21条经验教训,并提出了一个经验教训框架。这21个课程分为冲突/纠纷、沟通、方法/工具/技术、立法、资源管理、关系/态度/行为、健康与安全以及项目团队。据我们所知,目前还没有一篇文章专门通过多个案例研究来探讨利益相关者参与公共基础设施项目的经验教训。
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引用次数: 0
A machine learning-based credit lending eligibility prediction and suitable bank recommendation: an Android app for entrepreneurs 基于机器学习的信用贷款资格预测和合适的银行推荐:面向企业家的Android应用程序
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.133698
Jakia Parvin, Mahfuzulhoq Chowdhury
In Bangladesh, men and women are entering business not only to earn money but also to change their social conditions. Capital for conducting business is a big challenge for both male and female entrepreneurs. However, due to the lack of a proper loan eligibility system, both male and female entrepreneurs faced several problems regarding getting loans. Most entrepreneurs are unwilling to take loans from banks because their loan applications are rejected for various reasons. To overcome these challenges, in this paper, an automated recommendation system has been provided in a mobile application. This paper collects a real-time dataset for loan approval prediction systems. The system also develops a prediction model using machine learning algorithms that predict an entrepreneur's loan eligibility. The android application offers recommendations for a suitable bank for an eligible entrepreneur based on the prediction model and user data. The presented results confirm the necessity of our proposed system.
在孟加拉国,男性和女性进入商界不仅是为了赚钱,也是为了改变他们的社会状况。对于男性和女性企业家来说,开展业务所需的资金都是一个巨大的挑战。然而,由于缺乏适当的贷款资格制度,男性和女性企业家在获得贷款方面都面临着一些问题。大多数企业家不愿意从银行贷款,因为他们的贷款申请因各种原因被拒绝。为了克服这些挑战,本文在移动应用程序中提供了一个自动推荐系统。本文收集了用于贷款审批预测系统的实时数据集。该系统还开发了一个预测模型,使用机器学习算法来预测企业家的贷款资格。android应用程序根据预测模型和用户数据为符合条件的企业家推荐合适的银行。实验结果证实了该系统的必要性。
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引用次数: 0
A comparative study of static and iterative models of ARIMA and SVR to predict stock indices prices in developed and emerging economies ARIMA与SVR静态与迭代模型在发达与新兴经济体股票指数价格预测中的比较研究
Q4 MANAGEMENT Pub Date : 2023-01-01 DOI: 10.1504/ijams.2023.10058730
Nand Kumar, Archana Singh, Mohit Beniwal
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引用次数: 0
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International Journal of Applied Management Science
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