The acceptance of corporate wiki use for knowledge diffusion purposes

Alqahtani, Fayez

doi:10.1108/ajim-04-2017-0088

Cited by 7 publications

(4 citation statements)

References 62 publications

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“…To publish or share knowledge resources on the internet, platforms based on Web 2.0 are getting more and more popular (Alqahtani, 2017). As one of the most typical applications of Web 2.0, online knowledge communities (e.g.…”

Section: Introductionmentioning

confidence: 99%

User adoption of a hybrid social tagging approach in an online knowledge community

Qin

Liu

Mou

et al. 2019

AJIM

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Purpose Online knowledge communities make great contributions to global knowledge sharing and innovation. Resource tagging approaches have been widely adopted in such communities to describe, annotate and organize knowledge resources mainly through users’ participation. However, it is unclear what causes the adoption of a particular resource tagging approach. The purpose of this paper is to identify factors that drive users to use a hybrid social tagging approach. Design/methodology/approach Technology acceptance model and social cognitive theory are adopted to support an integrated model proposed in this paper. Zhihu, one of the most popular online knowledge communities in China, is taken as the survey context. A survey was conducted with a questionnaire and collected data were analyzed through structural equation model. Findings A new hybrid social resource tagging approach was refined and described. The empirical results revealed that self-efficacy, perceived usefulness (PU) and perceived ease of use exert positive effect on users’ attitude. Moreover, social influence, PU and attitude impact significantly on users’ intention to use a hybrid social resource tagging approach. Originality/value Theoretically, this study enriches the type of resource tagging approaches and recognizes factors influencing user adoption to use it. Regarding the practical parts, the results provide online information system providers and designers with referential strategies to improve the performance of the current tagging approaches and promote them.

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Section: Introductionmentioning

confidence: 99%

User adoption of a hybrid social tagging approach in an online knowledge community

Qin

Liu

Mou

et al. 2019

AJIM

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“…, 2015). In this study, the partial least squares (PLS) method was used to test the quantitative model because PLS is the best method for testing new models (Alqahtani, 2017). It is also very powerful for small-size samples (Henseler, 2016).…”

Section: Research Methodology and Modelmentioning

confidence: 99%

“…In the second phase (quantitative) and the next step, based on the results of the interviews, a researcher-made questionnaire was designed on a five-point Likert scale (from strongly disagree 5 1 to strongly agree 5 5) and in two sections of general questions, including five (Afthanorhan et al, 2015). In this study, the partial least squares (PLS) method was used to test the quantitative model because PLS is the best method for testing new models (Alqahtani, 2017). It is also very powerful for small-size samples (Henseler, 2016).…”

Section: Influences On Decisionmakingmentioning

confidence: 99%

Collective stupidity: influences on decision-making in knowledge-based companies

Ahmadzadeh

Safari

Teimouri

2022

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PurposeEven the smartest organizations believe that “good enough is never good enough.” Highly intelligent people may be able to do important things individually; still, it is their accumulated brainpower that allows them to do great things. Collective intelligence means when a group of people do things that seem intelligent. On the other hand, when intelligent people are gathered or hired in an organization, they tend toward collective stupidity and slow-wittedness. Therefore, the purpose of the present study is to develop a model of the factors affecting and affected by collective stupidity.Design/methodology/approachThis study was conducted using a mixed-method approach and in two phases: qualitative and quantitative. First, in the qualitative phase and in order to achieve new findings, semi-structured interviews with experts from 12 knowledge-based companies were used to design a conceptual model and formulate the hypotheses. At the end of the qualitative phase, the conceptual model and relationships between variables were drawn. Then, in the quantitative phase, by running structural equation modeling, the antecedents and consequences of collective stupidity derived from the qualitative phase findings were analyzed and the research hypotheses were tested in 110 industrial knowledge-based companies.FindingsThe results of the qualitative phase revealed that individual, group and organizational factors were the antecedents of collective stupidity, with individual factors having three dimensions, collective ones including two dimensions and organizational ones focusing on the characteristics of managers/companies. It was also found that collective stupidity had individual consequences in three dimensions and organizational consequences in five dimensions; and one-sidedness, non-strategic thinking, organizational injustice and weakness in the management of key personnel were extracted as mediators. The results of the quantitative phase confirmed the research model and showed that individual factors and organizational consequences had the lowest (0.037) and highest (1.084) effect sizes on collective stupidity, respectively.Research limitations/implicationsThe study of the phenomenon in a particular context and the difficulty of generalizing the findings to other situations, the small size of the study population due to the disproportionate number of experts to the total staff in the qualitative phase, and the limited participation of experts due to the negative nature of the issue in the quantitative phase. Taking advantage of the diversity of experts' mental abilities through equipping the organization with tools for recognizing collective stupidity, improving collective decision-making, enhancing the efficiency of think tanks and organizational prosperity in the age of knowledge economy, preventing damage to the body of knowledge of the company and reducing social loafing can be the main operational implications of this study.Originality/valueUsing a mixed-method approach for analyzing the antecedents and consequences of collective stupidity in this study and examining such a phenomenon in a knowledge-based organizational context and its implementation in a developing country can be among the innovations of the present research. By following a few studies conducted in this field in addition to the organizational pathology of the phenomenon using a fundamental method, this study obtained deep results on how to make the maximum use of experts’ capacities. This was to the extent that in all of the three sections, i.e. the antecedents and consequences of collective stupidity, a new factor emerged.

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“…In this study, partial least squares (PLS) method is used to test the qualitative model because PLS is the best method for evaluating newly created models (Alqahtani, 2017). On the other hand, this is a powerful method for implementing second-order and higher-order models, as well as hybrid models.…”

Section: Methodsmentioning

confidence: 99%

Developing a model for analyzing the factors influencing interpersonal conflict

Lalegani

Isfahani

Shahin

et al. 2019

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Purpose The purpose of this paper is to develop and analyze a model of factors influencing interpersonal conflicts. Design/methodology/approach This research was conducted using a mixed method approach. In the qualitative study, the conceptual model of the factors affecting interpersonal conflicts was extracted from semi-structured interviews with 17 relevant experts using a theme analysis technique. Then, three hypotheses were developed based on the model and relevant theoretical evidence. Using a researcher-made questionnaire which was developed earlier based on the qualitative results, a quantitative-based survey was performed to assess the interpersonal conflicts and also the standard scale of the level of interpersonal conflicts (Jehn, 1997). The hypotheses were tested on a sample of 160 employees of Chaharmahal and Bakhtiari Province Gas Company (CBPGC). Findings The results of the qualitative study indicated that individual factors including personality dimensions and individual differences; organizational factors including five dimensions of organizational culture, organizational structure, management characteristics, intra-organization factors and human resource systems; and environmental factors influenced the creation of interpersonal conflicts. The results of the quantitative study indicated that organizational factors with an effect size of 0.502 were identified as the most important factor influencing interpersonal conflicts. Research limitations/implications The findings of this study can provide a roadmap to managers of the CBPGC to be aware of the contributing factors to conflict within their organization. Originality/value The use of mixed method to identify the causes and factors of interpersonal conflict and analyzing a context different from previous studies can be considered as the innovations of this study.

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The acceptance of corporate wiki use for knowledge diffusion purposes

Cited by 7 publications

References 62 publications

User adoption of a hybrid social tagging approach in an online knowledge community

User adoption of a hybrid social tagging approach in an online knowledge community

Collective stupidity: influences on decision-making in knowledge-based companies

Developing a model for analyzing the factors influencing interpersonal conflict

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