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The purpose of this paper aims to investigate the effect of a model's eye gaze direction on the information processing behavior of consumers varying based on their gender.

An eye-tracking experiment and a memory test are conducted to test the research hypotheses.

Compared to an averted gaze, a model with a direct gaze attracts more attention to the model's face among male consumers, leading to deeper processing. However, the findings show that when a model displays a direct gaze rather than an averted gaze, female consumers pay more attention to the brand name, thus leading to deeper processing.

This study contributes to not only the existing eye gaze direction literature by integrating the facilitative effect of direct gaze and considering the moderating role of consumer gender on consumer information processing but also the literature concerning the selectivity hypothesis by providing evidence of gender differences in information processing. Moreover, this study offers practical insights to practitioners regarding how to design appealing webpages to satisfy consumers of different genders.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2020-0025

The uncertainty of remanufacturing parts is a key factor affecting the quality of remanufactured products. Therefore, the purpose of this paper is to measure the uncertainty of remanufactured parts and study the coupling mechanism of reassembly quality.

First, uncertainty of remanufactured parts is analyzed, and the uncertainty measure model for remanufacturing parts based on entropy is constructed. Second, the nonlinear mapping model between the uncertainty and reassembly quality were studied using Gauss-Newton iterative method to reveal the coupling mechanism between uncertainty of remanufacturing parts and reassembly quality. Finally, the model is verified in the reassembly process of remanufacturing cylinder head.

The method can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts.

This study provides practical implications by developing a multivariate nonlinear mapping model for reassembly quality based on entropy to determine the uncertainty factors that affect the reassembly quality significantly and then correct the reassembly operation to better optimize the allocation of remanufacturing production resources. The study also theoretically contributes to reveal the coupling mechanism of reassembly quality with the uncertainty of remanufactured parts.

Aligning the project management methodology (PMM) to a particular project is considered to be essential for project success. Many outsourced software projects fail to deliver on time, budget or do not give value to the client due to inappropriate choice of a PMM. Despite the increasing range of available choices, project managers frequently fail to seriously consider their alternatives. They tend to narrowly tailor project categorization systems and categorization criterion is often not logically linked with project objectives. The purpose of this paper is to develop and test a contingency fit model comparing the differences between critical success factors (CSFs) for outsourced software development projects in the current context of traditional plan-based and agile methodologies.

A theoretical model and 54 hypotheses were developed from a literature review. An online Qualtrics survey was used to collect data to test the proposed model. The survey was administered to a large sample of senior software project managers and practitioners who were involved in international outsourced software development projects across the globe with 984 valid responses.

Results indicate that various CSFs differ significantly across agile and traditional plan-based methodologies, and in different ways for various project success measures.

This study is cross-sectional in nature and data for all variables were obtained from the same sources, meaning that common method bias remains a potential threat. Further refinement of the instrument using different sources of data for variables and future replication using longitudinal approach is highly recommended.

Practical implications of these results suggest project managers should tailor PMMs according to various organizational, team, customer and project factors to reduce project failure rates.

Unlike previous studies this paper develops and empirically validates a contingency fit model comparing the differences between CSFs for outsourced software development projects in the context of PMMs.

While the choices available for project management methodologies have increased significantly, questions remain on whether project managers fully consider their alternatives. When project categorization systems and criteria are not logically matched with project objectives, characteristics and environment, this may provide the key reason for why many software projects are reported to fail to deliver on time, budget or do not give value to the client. The purpose of this paper is to identify and categorize critical success factors (CSFs) and develop a contingency fit model contrasting perspectives of traditional plan-based and agile methodologies.

By systematically reviewing the previous literature, a total of 37 CSFs for software development projects are identified from 148 articles, and then categorized into three major CSFs: organizational, team and customer factors. A contingency fit model augments this by highlighting the necessity to match project characteristics and project management methodology to these CSFs.

Within the three major categories of CSFs, individual factors are ranked based on how frequently they have been cited in previous studies, overall as well as across the two main project management methodologies (traditional, agile). Differences in these rankings as well as mixed empirical support suggest that previous research may not have adequately theorized when particular CSFs will affect project success and lend support for the hypothesized contingency model between CSFs, project characteristics and project success criteria.

This research is conceptual and meta-analytic in its focus. A crucial task for future research should be to test the contingency fit model developed using empirical data. There is no broad consensus among researchers and practitioners in categorizing CSFs for software development projects. However, through an extensive search and analysis of the literature on CSFs for software development projects, the research provides greater clarity on the categories of CSFs and how their direct, indirect and moderated effects on project success can be modelled.

This study proposes a contingency fit model and contributes towards developing a theory for assessing the role of CSFs for project success. While future empirical testing of this conceptual model is essential, it provides an initial step for guiding quantitative data collection, specifies detailed empirical analysis for comparative studies, and is likely to improve clarity in debate. Since previous studies have not rigorously assessed the impact of fit between project characteristics, project environment and project management methodology on project success, additional empirically robust studies will help to clarify contradictory findings that have limited theory development for CSFs of software development projects to date.

Previous research for software development projects has frequently not fully incorporated contingency as moderation or contingency as fit (traditional vs agile). This research sets out to develop fully a contingency fit perspective on software development project success, through contrasting traditional plan-driven and agile methodologies. To do this, the paper systematically identifies and ranks 37 CSFs for software projects from 148 journal publications and holistically categorizes them as organizational, team, customer and project factors.

This study aims to empirically investigate the relationship between different global software development (GSD) challenges (management, process, social, technical and environmental challenges) and software project success. Further, the study examines the moderating role of total quality management (TQM) between the relationship of GSD challenges and success of software projects.

Using two field studies, the authors collected data form software developers working in globally distributed teams. In study 1 (n = 194), relationship of different dimensions of GSD challenges (management, process, social, technical and environmental challenges) and project success was examined. In study 2 (n = 138), moderating role of TQM was examined on the relationship of GSD challenges and project success.

The results of study 1 indicate that there is a negative relationship between all dimensions of GSD challenges and project success. Findings of study 2 confirmed that TQM practices moderate the negative relationship between GSD challenges and project success.

The findings of the study provide guidelines to the project managers of software industry to mitigate GSD challenges using TQM practices.

Study adds in the literature of TQM, GSD challenges and project success by (1) empirically investigating the relationship between different GSD challenges and software project success and (2) by examining the moderating role of TQM practices on relationship of GSD challenges and project success in global software development industry.

The paper seeks to understand the implications of partner opportunism for project relationships.

Based on the theoretical literature, the paper presents a conceptual model considering the perspective of the organization impacted by partner opportunism.

The model proposes that partner opportunism lowers willingness to engage by creating perception of loss. The undesirable impact of opportunism on perceived loss is less if the partner has made high relation-specific investments. Also, the negative impact of perceived loss on willingness to engage is less if the partner is difficult to substitute.

The model can be tested in the context of information technology (IT) relationships because of scope for opportunism in IT project relationships. Data can be collected through experimental vignettes.

The model contributes by investigating novel aspects of governance, behavioral consequences of opportunism and relation-specific investments in project relationships. The paper suggests that organizations can protect themselves against the ill effects of partner opportunism by enabling their stakeholders to invest substantial time and effort in the relationship and fortify relational quality and bonding.

This study aims to investigate the influence of various risk factors, specifically investment risk, legal risk and technology risk, on the decision of investors to invest in equity crowdfunding ventures in Malaysia.

A total of 169 valid responses out of a total of 195 questionnaires were distributed to individuals with prior knowledge of equity crowdfunding. The data from the responses are used to test the relationships using structural equation modeling partial least squares (SEM-PLS).

Investigation into the influence of risk factors on the willingness to support equity crowdfunding shows that investment risk and legal risk significantly influence the decision to support equity crowdfunding ventures, but technology risk does not. However, while the influence of investment risk is negative, legal risk is found to have a positive influence.

This study is important as, to the authors’ knowledge, this is the first study to empirically test the relationship between the various risks inherent in equity crowdfunding investments and the decision to invest. The study is also important to entrepreneurs and start-ups as it provides evidence that while the equity crowdfunding investment community follows the norms of investment, i.e. lower risk is preferred, stricter laws and regulations governing equity crowdfunding may not be needed or may only be relevant in countries where there are more retail, unsophisticated investors.

This paper aims to unpack the relationship between the interactive use of project control systems (PCS) and project performance by examining the role of stakeholder analysis effectiveness in enacting this relationship. A conceptual framework was developed based on the stakeholder theory and the levers of control framework.

Partial least square-structural equation modelling analysis was conducted on the cross-sectional questionnaire data collected from 109 information technology (IT) projects.

The interactive use of PCS enables project managers to effectively deal with the stakeholders-related uncertainty, and stakeholder analysis effectiveness partially mediates the positive relationship between the interactive use of PCS and IT project performance.

This study extends the project control literature by explaining the positive relationship between the interactive use of PCS and project performance. The findings contribute to the stakeholder analysis literature by operationalizing the stakeholder analysis effectiveness construct and identifying it as a new mediator between the interactive use of PCS and project performance.