Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software

Kügler, Maurice; Dittes, Sven; Smolnik, Stefan; Richter, Alexander

doi:10.1007/s12599-015-0379-z

Cited by 37 publications

(27 citation statements)

References 132 publications

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“…A change in the communication structure can radiate into various areas of the organisation [3]. Further examination of the interplay between cultural factors and ESN therefore is desirable [12].…”

Section: Cultural Effectsmentioning

confidence: 99%

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Enterprise Social Networks: Status Quo of Current Research and Future Research Directions

Stei

Sprenger

Rossmann

2016

Business Information Systems

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Abstract. This paper provides an introduction to the topic of Enterprise Social Networks (ESN) and illustrates possible applications, potentials, and challenges for future research. It outlines an analysis of research papers containing a literature overview in the field of ESN. Subsequently, single relevant research papers are analysed and further research potentials derived therefrom. This yields seven promising areas for further research: (1) user behaviour; (2) effects of ESN usage; (3) management, leadership, and governance; (4) value assessment and success measurement; (5) cultural effects, (6) architecture and design of ESN; and (7) theories, research designs and methods. This paper characterises these areas and articulates further research directions.

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Section: Cultural Effectsmentioning

confidence: 99%

“…ESN have been found to support coordination in respect of work shared between employees within organisations by for example providing functions that help employees to fulfil subtasks [12,13].…”

Section: Introductionmentioning

confidence: 99%

Enterprise Social Networks: Status Quo of Current Research and Future Research Directions

Stei

Sprenger

Rossmann

2016

Business Information Systems

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“…lacking a temporal view accounting for how outcomes and benefits actually evolve, e.g. [23,24,28,34,40,78,89,94]. In this study, we address this limitation; our aim is to investigate and understand how enterprise collaboration platform outcomes and benefits change over time.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Understanding Enterprise Collaboration Platform Outcomes and Benefits Change

Nitschke

Williams

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Enterprise collaboration platforms integrating traditional collaboration tools and enterprise social software are shaped and designed through use. To date, existing research has not studied in any depth how their outcomes and benefits change over time. In this paper, we develop the MoBeC framework for capturing and monitoring how outcomes and benefits of enterprise collaboration platforms are changing over time. The framework is applied in an empirical setting adopting a longitudinal case study design. The study findings contribute to the deeper understanding of the dynamic and evolving nature of such platforms.

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“…Social connectedness is a vital ingredient of the acceptance by others (a significant predictor of resilience) and can be fostered through positive interpersonal relationship (Lee et al, 2017). Research in 2015 found a positive relation between social connectedness with the reputation of an employee (Kügler et al, 2015). As social support is essential in working space (research laboratory, office, library, etc.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Serendipity Social Recommender Model

Zolkafly

Ahmad

2020

MJoC

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Social support is essential, especially in a working environment, because it can reduce psychological strain. The psychological strain associated with mental health in daily lives could have been gained from mismatched staffing and indirect control of the staffs. In order to meditate the problem, in this study, a hybrid serendipity social recommender model is proposed. This model is a combination of several proposed models encountered during the development process. Firstly, Rough Set Theory (RST) has been used in the early development stage to compute an automated attribute selection. RST is a mathematical tool that is widely used for knowledge discovery and feature selection. At the same time, it, minimizes redundancies among variables in classifying objects and extracts rules from the database. In the next stage, the classification model is used to classify the data into subclasses by using a deep learning algorithm. This algorithm aims to define the higher matching suggested attributes and used for processing massive data. Lastly, a reasoning approach is applied by using case-based reasoning from the result produced. The reasoning approach is used to finding the reasons why the attributes are selected. This approach searches the history of the selected attributes or compute a reason by digging back in the database.

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Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software

Cited by 37 publications

References 132 publications

Enterprise Social Networks: Status Quo of Current Research and Future Research Directions

Enterprise Social Networks: Status Quo of Current Research and Future Research Directions

Monitoring and Understanding Enterprise Collaboration Platform Outcomes and Benefits Change

A Hybrid Serendipity Social Recommender Model

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