How are decision systems changing? The contribution of social media to the management of decisional liquefaction

Giudice, Manlio Del; Caputo, Francesco; Evangelista, Federica

doi:10.1080/12460125.2016.1187546

Cited by 56 publications

(34 citation statements)

References 27 publications

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“…Information asymmetry has been recognised as a barrier for a business relationship, as one of the partners has more information than the other one (Corbett et al, 2004;Gomes et al, 2013). This barrier is related to potential opportunistic behaviour of one partner due to information advantage over the other partner in a business relationship (Mishra et al, 1998;Del Giudice et al, 2016). However, the information asymmetry can also be considered as the starting point in creating a relationship with a foreign partner, because it tends to stimulate both parties to acquire more information (Newey and Zahra, 2009;Saviano and Caputo, 2013;Saviano et al, 2014).…”

Section: Information Asymmetrymentioning

confidence: 99%

Influences of cognitive dimensions on the collaborative entry mode choice of small- and medium-sized enterprises

Giudice

Arslan

Scuotto

et al. 2017

IMR

Self Cite

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Purpose-Our paper addresses internationalisation of small and medium-sized enterprises (SMEs) by specifically focusing on collaborative entry modes. Despite significant research done on market entry strategies of firms, the use of collaborative entry modes by SMEs during internationalisation has not received a lot of attention. We contribute to foreign market entry literature by analysing the influences of cognitive dimensions on collaborative entry mode choice (equity vs. non-equity modes) of SMEs in their international markets. Design/methodology/approach-We analyse the influences of cognitive dimensions on the choice between equity-based vs. non-equity-based collaborative entry modes. Our empirical sample consists of 345 Italian SMEs, where we used a questionnaire to collect the data. We use structural equation modelling (SEM) to analyse influences of factors like asymmetric information, informal institutional distance, time trends of country, perception of size and resources of potential host country partners, and perception of host country partners' power on this important market entry mode. Findings-Our results show that high informal institutional distance leads to preference of non-equity-based collaborative entry mode by Italian SMEs. We also find that positive time trends of the host country, positive perception of size and resource of the local partner, as well as the local partners' power leads to preference of equity-based collaborative entry mode by Italian SMEs. Originality/value-This study focuses on an ignored aspect of market entry strategies, i.e., equity vs. non-equity collaborative entry mode choice of SMEs. We use insights from resource based view and cognitive dimensions literature, to address the influences of five cognitive dimensions on the collaborative entry mode choice of SMEs during their internationalisation.

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Section: Information Asymmetrymentioning

confidence: 99%

Influences of cognitive dimensions on the collaborative entry mode choice of small- and medium-sized enterprises

Giudice

Arslan

Scuotto

et al. 2017

IMR

Self Cite

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“…With this objective, the techniques used to identify insights from large datasets have been perfected, making it possible for companies to extract knowledge and to improve corresponding processes [9]. Therefore, it is important to highlight that one of the main problems that companies usually face is precisely how to use the extracted information [10,11] and how to incorporate this information in their decision-making systems [10,12].…”

Section: Introductionmentioning

confidence: 99%

Comparing Data-Driven Methods for Extracting Knowledge from User Generated Content

Saura

Reyes-Menéndez

Filipe

2019

Journal of Open Innovation: Technology, Market, and Complexity

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This study aimed to compare two techniques of business knowledge extraction for the identification of insights related to the improvement of digital marketing strategies on a sample of 15,731 tweets. The sample was extracted from user generated content (UGC) from Twitter using two methods based on knowledge extraction techniques for business. In Method 1, an algorithm to detect communities in complex networks was applied; this algorithm, in which we applied data visualization techniques for complex networks analysis, used the modularity of nodes to discover topics. In Method 2, a three-phase process was developed for knowledge extraction that included the application of a latent Dirichlet allocation (LDA) model, a sentiment analysis (SA) that works with machine learning, and a data text mining (DTM) analysis technique. Finally, we compared the results of each of the two techniques to see whether or not the results yielded by these two methods regarding the analysis of companies’ digital marketing strategies were mutually complementary.

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“…Information and communication technologies (ICTs) are infiltrating many fields, including governance, economics, defense, media, social media, health care, industry, education, etc. [1][2][3][4]. These fields are undergoing continuous digitalization and pervasive interconnection, making communication networks an indispensable infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Towards Efficiently Provisioning 5G Core Network Slice Based on Resource and Topology Attributes

Guo²,

Xu³

et al. 2019

Applied Sciences

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Efficient provisioning of 5G network slices is a major challenge for 5G network slicing technology. Previous slice provisioning methods have only considered network resource attributes and ignored network topology attributes. These methods may result in a decrease in the slice acceptance ratio and the slice provisioning revenue. To address these issues, we propose a two-stage heuristic slice provisioning algorithm, called RT-CSP, for the 5G core network by jointly considering network resource attributes and topology attributes in this paper. The first stage of our method is called the slice node provisioning stage, in which we propose an approach to scoring and ranking nodes using network resource attributes (i.e., CPU capacity and bandwidth) and topology attributes (i.e., degree centrality and closeness centrality). Slice nodes are then provisioned according to the node ranking results. In the second stage, called the slice link provisioning stage, the k-shortest path algorithm is implemented to provision slice links. To further improve the performance of RT-CSP, we propose RT-CSP+, which uses our designed strategy, called minMaxBWUtilHops, to select the best physical path to host the slice link. The strategy minimizes the product of the maximum link bandwidth utilization of the candidate physical path and the number of hops in it to avoid creating bottlenecks in the physical path and reduce the bandwidth cost. Using extensive simulations, we compared our results with those of the state-of-the-art algorithms. The experimental results show that our algorithms increase slice acceptance ratio and improve the provisioning revenue-to-cost ratio.

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How are decision systems changing? The contribution of social media to the management of decisional liquefaction

Cited by 56 publications

References 27 publications

Influences of cognitive dimensions on the collaborative entry mode choice of small- and medium-sized enterprises

Influences of cognitive dimensions on the collaborative entry mode choice of small- and medium-sized enterprises

Comparing Data-Driven Methods for Extracting Knowledge from User Generated Content

Towards Efficiently Provisioning 5G Core Network Slice Based on Resource and Topology Attributes

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