Delivering complex engineering projects: Reexamining organizational control theory

Liu, Li; Borman, Mark; Gao, Jun

doi:10.1016/j.ijproman.2013.10.006

Cited by 44 publications

(42 citation statements)

References 38 publications

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“…Cardinal 2001;Melnyk et al 2014;Tessier and Otley 2012). Other authors, such as Cardinal Liu et al (2014) and Ouchi (1979), have built upon these theoretical foundations. In the organizational control field, authors such as Child (1973), Cyert and March (1963), Thompson (1967) and Woodward (1970) have theorized about organizational control.…”

Section: Theoretical Foundations Of Pmmmentioning

confidence: 99%

“…In the organizational control field, authors such as Child (1973), Cyert and March (1963), Thompson (1967) and Woodward (1970) have theorized about organizational control. Other authors, such as Cardinal (2001), Liu et al (2014) and Ouchi (1979), have built upon these theoretical foundations. In a similar vein, management control theories have developed from the management accounting field (e.g.…”

Section: Theoretical Foundations Of Pmmmentioning

confidence: 99%

See 1 more Smart Citation

Editorial: Towards a Theoretical Foundation for Performance Measurement and Management

Bititci

Bourne

Cross

et al. 2018

Int J Management Reviews

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Section: Theoretical Foundations Of Pmmmentioning

confidence: 99%

Section: Theoretical Foundations Of Pmmmentioning

confidence: 99%

Editorial: Towards a Theoretical Foundation for Performance Measurement and Management

Bititci

Bourne

Cross

et al. 2018

Int J Management Reviews

View full text Add to dashboard Cite

“…In an organizational context, input control has been described as a regulator of the “antecedent conditions of performance” , meaning that it can be applied to control the “knowledge, skills, abilities, values, and motives of employees” through screening, selection, and development (Snell, , p. 297). Although different forms of input control were considered in varying contexts (eg, Boudreau, ; Cardinal et al, ; Kim & Tiwana, ; Liu, Borman, & Gao, ), the majority of prior IS control studies examined the effects of output, process, and clan control, overlooking the increasing relevance of input control, despite its prevalence in practice (eg, Choudhury & Sabherwal, ; Kirsch et al, ). This neglect of input control in IS research can be attributed to the fact that in traditional IT project management it was not as visibly observed as it is in platform settings (Tiwana, ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Network effects on crowdfunding platforms: Exploring the implications of relaxing input control

Thies

Wessel

Benlian

2018

Information Systems Journal

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Crowdfunding has emerged as a viable alternative to venture capital or angel investments in order to raise funds for entrepreneurial initiatives. Despite its growing importance, we still know little about the underlying network effects that drive the evolution and growth of crowdfunding platforms. Specifically, is the evolution and growth primarily driven by a growing number of entrepreneurial projects attracting funders, or do funders primarily attract entrepreneurs, or does a reciprocal relationship exist between the two market sides? We also explore whether and how input control, a common gatekeeping mechanism on platforms, has an impact on the formation of network effects. By analyzing eight years of data on the evolution of Kickstarter, one of the leading reward-based crowdfunding platforms, we find that network effects are asymmetric. An increasing number of entrepreneurial projects has a strong and significant effect on the installed base of funders (cross-side network effects) and also attracts other entrepreneurs to the platform (same-side network effects). However, an increased installed base of funders does not have an effect on the growth of either side of the market.We also find that, under weaker input control, cross-side network effects and same-side network effects are weaker and less sustainable. Taken together, our exploratory evidence suggests that the relationship between the market sides on crowdfunding platforms might be less reciprocal than expected, having profound implications for entrepreneurs and providers of crowdfunding platforms.

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“…The project objective, product quality, delivery time and customer cost of the project management are relatively stable, and the risk avoidance, risk bearing or risk transfer strategy can be adopted according to the project type with high probability (Grennberg, 1993). Therefore, the impact of project type on engineering harmony focuses on control in multiple organizations, which plays an indirect regulatory role (Liu, Borman, & Gao, 2014). To sum up, this paper proposes the following hypothesis: H8: the engineering type may influence the positive impact of the risk management objective on engineering harmony.…”

Section: The Basic Assumptionsmentioning

confidence: 99%

Engineering Harmony Under Multi-Constraint Objectives: The Perspective of Meta-Analysis

Wang

Zuo

2020

Journal of Civil Engineering and Management

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Harmony is the process of coordinated development between the elements, subsystems and the environment in each Engineering stage of the engineering implementation. Quality, duration, cost and risk are the key factors to achieve engineering harmony. Clarifying the influencing factors of engineering harmony and its mechanism can improve the possibility of success. The meta-analysis method is used to carry out a restudy of existing researches of engineering harmony. First, quality, duration, cost and risk are selected as the variables of achieving engineering harmony. Second, the paper collects 29 existing researches including many countries and regions around the world on the relationship between the variables and engineering harmony. Third, each value is calculated and corrected according to literature coding. Forth, publication deviation and total effect test are checked. Finally, the research conclusions and engineering management implications are given based on the results of meta-analysis. The results show that quality objective, duration objective, cost objective and risk management objective all have positive impact on achieving engineering harmony. The engineering type has no regulatory effect on positive impact of the duration objective and cost objective, but has regulatory effect on positive impact of the quality objective and risk management objective on the engineering harmony.

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Delivering complex engineering projects: Reexamining organizational control theory

Cited by 44 publications

References 38 publications

Editorial: Towards a Theoretical Foundation for Performance Measurement and Management

Editorial: Towards a Theoretical Foundation for Performance Measurement and Management

Network effects on crowdfunding platforms: Exploring the implications of relaxing input control

Engineering Harmony Under Multi-Constraint Objectives: The Perspective of Meta-Analysis

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