The evolution of Luhmann's systems theory with focus on the constructivist influence

Herting, Stephan; Stein, Lars

doi:10.1080/03081070600899412

Cited by 28 publications

(8 citation statements)

References 13 publications

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“…People's preference are highly based on the cultural and historical heritage of the region. Furthermore, the findings of this study are supported by wellknown theories such as the McCarthy's extended 7 P theory (Perreault and McCarthy 2002), and social exchange theory (Posey et al 2010), and the Luhmannian social systems theory (Herting and Stein 2007).…”

Section: Managerial Implicationssupporting

confidence: 82%

Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

Maiyar

Cho

Tiwari

et al. 2018

International Journal of Production Research

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Bowing to the burgeoning needs of online consumers, exploitation of social media content for extrapolating buyer-centric information is gaining increasing attention of researchers and practitioners from service science, data analytics, machine learning and associated domains. The current paper aims to identify the structural relationship between product attributes and subsequently prioritize customer preferences with respect to these attributes while exploiting textual social media data derived from fashion blogs in Germany. A Bayesian Network Structure Learning (BNSL) model with K2-score maximization objective is formulated and solved. A selftailored metaheuristic approach that combines Self-Learning Particle Swarm Optimization (SLPSO) with K2 algorithm (SLPSOK2) is employed to decipher the highest scored structures. The proposed approach is implemented on small, medium and large size instances consisting of nine fashion attributes and 18 problem sets. The results obtained by SLPSOK2 are compared with Particle Swarm Optimization/K2 score (PSOK2), Genetic Algorithm/K2 score (GAK2), and Ant Colony Optimization/K2 score (ACOK2). Results verify that SLPSOK2 outperforms its hybrid counterparts for the tested cases in terms of computational time and solution quality. Furthermore, the study reveals that psychological satisfaction, historical revival, seasonal information and facts and figure based reviews are major components of information in fashion blogs that influence the customers.

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Section: Managerial Implicationssupporting

confidence: 82%

Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

Maiyar

Cho

Tiwari

et al. 2018

International Journal of Production Research

View full text Add to dashboard Cite

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“…Despite the criticism against Luhmann's social theory, it remains a topical area of study and discussion, as can be seen in e.g. Gregory (2006), Hertig and Stein (2007), Seidl and Becker (2006), Valentinov (2014), Vanderstraeten (2005) and Von Schlippe and Frank (2013).…”

Section: Previous Attempts To Apply Autopoiesis Sociallymentioning

confidence: 99%

Autopoiesis and Structuration Theory: A Framework to Investigate the Contribution of a Development Project to a Rural Community

Turpin

2016

Syst. Res

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The social application of autopoiesis remains a topic of interest and debate. In the 40 years since the theory of autopoiesis was published, Luhmann's work dominated its social application. Other suggestions of combining autopoiesis with social theory, such as Giddens' structuration theory, have gone largely unnoticed. In the present study, structuration theory is combined with autopoiesis concepts in a framework with which to assess the well‐being and sustainability of social systems in a developing country. In particular, the framework is applied to evaluate the contribution of a development project to the community affected by it. The study demonstrates the practical applicability of a structuration‐based conceptualisation of autopoiesis. In addition, it presents a novel way of looking at developmental impact, namely in terms of a project's influence on the self‐producing ability of the community served. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Social construction theory argues that facts are created through human agreement rather than being phenomena intrinsic to nature (Goldman, 1986;Searle, 1995). Opposing the idea of the existence of absolute truth, constructivism stipulates that it is the observer who constructs the reality and any statement of the observer about his observation is purely her own interpretation (Herting and Stein, 2007). Extending this notion into the criminal justice sphere, Sanders (1987) and McConville et al (1991) argue that criminal cases should not be perceived as 'discovered' or 'unearthed' objective entities that exist independently of legal actors.…”

Section: Introductionmentioning

confidence: 99%

The Constructed Truth

Mou

2016

Social & Legal Studies

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Witnesses rarely testify at trial in China and the courts routinely rely on investigative dossiers to determine the guilt or innocence of the defendant. Shielded from external scrutiny, relatively little is known about how these investigative dossiers are constructed and whether they are truly reliable. To understand the construction process for police cases, ethnography, semi-structured interviews and content analysis of the dossiers have been conducted to explore the formation of evidence during the police investigation. This paper reveals that the constructed evidence is subject to manipulation and distortion designed to enhance the incrimination of the accused. With a lack of the functional equivalence in defence construction required to challenge the facts presented in these dossiers, the current criminal justice system in China is structurally weak and fails to function as a truth-finding process.

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The evolution of Luhmann's systems theory with focus on the constructivist influence

Cited by 28 publications

References 13 publications

Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

Autopoiesis and Structuration Theory: A Framework to Investigate the Contribution of a Development Project to a Rural Community

The Constructed Truth

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