The Effect of External Knowledge Sources on Organizational Innovation in Small and Medium Enterprises in Germany

Background: Firms increasingly depend on external actors for the process of generating innovation. Interaction with these actors might occur through an official collaboration agreement or via external actors as the source of information. Objectives: Although open innovation has received more attention, still less is known about its effect on organizational innovation. To fill this gap, this study investigates the impact of various external knowledge sources on the willingness of small and mediumsized enterprises to introduce organizational innovation. Methods/Approach: To achieve the proposed objective, the German Community Innovation Survey conducted in 2017 is used for the econometric analysis. Results: Different external sources of knowledge are relevant for the introduction of organizational innovation in small firms (customers in the private sector, competitors, conferences, and crowdsourcing) compared to medium-sized firms (customers in the private sector and industry associations). Conclusions: External knowledge sources are more important for small firms compared to medium firms, and those small firms are more likely to use various sets of external knowledge.

Performance Measurement of Vietnamese Publishing Firms by the Integration of the GM (1,1) Model and the Malmquist Model

Background: In the new technology context, the publishing industry cannot continue to maintain its business operations and to develop relying solely on traditional product offerings, such as books, magazines, and newspapers. There needs to be an expansion into innovative products, such as e-books, micro-publishing, and websites. Objectives: The paper addresses the factors influencing financial reports of Vietnamese publishing firms using two methodological approaches, namely the Grey first-order one variables (GM,1,1) model in the Grey theory and the Malmquist model in the data envelopment analysis (DEA). Methods/Approach: The GM(1,1) model predicts the future period of 2020–2023 based on the historical time series analysis. The Malmquist model presents catch-up, frontier-shift, and Malmquist Productivity Index (MPI) in whole terms. Results: The analysis provides an overview of the publishing industry in Vietnam. The final empirical results show that twelve companies reached a production efficiency higher than 1 and fourteen companies are expected to attain a productivity score higher than 1. Conclusions: Only a few firms do not need to change significantly; however, the remaining firms must re-evaluate their current operations.

Cultural Tourism and Community Engagement: Insight from Montenegro

Background: Cultural tourism in Montenegro is growing, mostly due to the integral growth and development of tourism products. However, an in-depth insight into the relationship between cultural tourism and community engagement is missing. Objectives: The paper aims to examine the relationship between cultural tourism development and community engagement in Montenegro. Methods/Approach: Using the extensive literature, available secondary data, and an analysis of relevant policies, the paper explores new possibilities for diversifying tourism offer at heritage sites, by engaging volunteers, enhancing understanding of the socio-historical background, promoting the usage of digital tools, partnering with relevant stakeholders, introducing innovative funding tools and schemes. Results: Several management issues associated with heritage tourism and community participation are acknowledged. Conclusions: Key findings indicate the need for a systemic, dynamic, and innovative framework for sustainable and highly impactful heritage tourism in Montenegro, which policymakers, heritage ventures, and other stakeholders might use to strengthen community engagement and development at the heritage sites.

Position and Role of Social Supermarkets in Food Supply Chains

Background: Social supermarkets were developed in Europe after the economic crisis 2008-2014. Their purpose is to decrease food waste that occurs in traditional food supply chains and to ensure access to food to socially endangered citizens. Objectives: This paper analyses the general perception of consumers regarding the mission and purpose of social supermarkets in four Central Eastern European (CEE) countries: Croatia, Poland, Lithuania, and Serbia. Methods/Approach: The paper brings the results of the survey research conducted in the observed CEE countries measuring attitudes towards the relevance and the role of social supermarkets. Results: There is a positive attitude regarding the existence of social supermarkets in all the analysed CEE countries. Less than 10% of respondents claim that there is no need for such organizations. In Croatia, Lithuania, and Poland examinees claim that reduction of food waste rather than reduction of poverty should be emphasized as a mission of social supermarkets. Conclusions: Social supermarkets require improvement of a legal framework, welfare system integration, and implementation of state monitoring. Moreover, larger involvement of religious communities, national and local governments, as supporting institutions is observed as a necessity in all the countries.

The Proportion for Splitting Data into Training and Test Set for the Bootstrap in Classification Problems

Background: The bootstrap can be alternative to cross-validation as a training/test set splitting method since it minimizes the computing time in classification problems in comparison to the tenfold cross-validation. Objectives: Тhis research investigates what proportion should be used to split the dataset into the training and the testing set so that the bootstrap might be competitive in terms of accuracy to other resampling methods. Methods/Approach: Different train/test split proportions are used with the following resampling methods: the bootstrap, the leave-one-out cross-validation, the tenfold cross-validation, and the random repeated train/test split to test their performance on several classification methods. The classification methods used include the logistic regression, the decision tree, and the k-nearest neighbours. Results: The findings suggest that using a different structure of the test set (e.g. 30/70, 20/80) can further optimize the performance of the bootstrap when applied to the logistic regression and the decision tree. For the k-nearest neighbour, the tenfold cross-validation with a 70/30 train/test splitting ratio is recommended. Conclusions: Depending on the characteristics and the preliminary transformations of the variables, the bootstrap can improve the accuracy of the classification problem.

Freelancing in Croatia: Differences among Regions, Company Sizes, Industries and Markets

Background: Freelancers have a significant impact on economic growth due to their specific skills that are nowadays often used as complements to the regular full-time workforce of a company, not as their competition. Objectives: The study aims to investigate employers’ attitudes towards the employment of freelancers in Croatia, taking into account the place of establishment, the operational market, the size, and the industry of the organization hiring freelancers. Methods/Approach: Differences among organizations according to their attitudes towards freelancers are analyzed by multiple 2xc Fisher’s exact tests with the Monte Carlo Simulation, and binomial logistic regression analysis. Results: Significant differences are found in terms of the operational market and the industry in which the company operates. Besides, the binomial logistic regression analysis identified the following independent constructs as significant predictors of hiring freelancers: the region of the company’s seat, company size, and area of operation. Conclusions: The national legislation should complement the developmental policies to encourage employment and especially self-employment of freelancers.

Enterprise Digital Divide: Website e-Commerce Functionalities among European Union Enterprises

Background: Information and communication technologies (ICTs) gained prevalent organizational and structural value in the modern economy. E-commerce is one of the sectors directly influenced by technological change. However, not all countries have the same opportunities to develop e-commerce growth; there are significant discrepancies in ICT utilization worldwide, known as the digital divide. Objectives: The purpose of this paper is to explore the level of difference among European countries regarding the e-commerce functionalities in their enterprises using a cluster analysis. Methods/Approach: To accomplish the paper goal, the k-means cluster analysis was conducted on the Eurostat data from 2019. Enterprises from 28 European countries were taken into consideration. The Kruskal-Wallis test is used to explore if the differences among clusters regarding the digital development, measured by the Digital Economy and Society Index are significant. Results: The investigation confirmed that there are significant differences among European countries regarding the development of e-commerce. However, a similar level of e-commerce is not related to economic and digital development. Conclusions: Since the relationship between economic development and e-commerce development in European countries is not linear, country-level policies are likely to be significant factors driving e-commerce development, which leads to the need for further investigation of this issue.

Gender Disparity in Students’ Choices of Information Technology Majors

Background: The gender disparity in the Information Technology (IT) field has persisted over the years. In 2018, only 27.2% of IT workers were women. Once hired, women face more challenges, and they are leaving the field twice as fast as men are. The misconception that women are weak in tech is one of the root causes of gender disparity issues in IT. Objectives: We examine the gender disparity in students’ choices of IT majors, as well as the decision process of Computer Information Systems (CIS) graduates. Methods/Approach: We use the United States public universities’ student data from 2010 to 2018. Both the Pooled and the Satterthwaite t-test are used to investigate the gender disparity issue among the students. Results: Our results support our hypothesis that female students are statistically less likely to choose CIS than their male peers are. An additional analysis of students’ grades in CIS courses shows that female students perform equally well as male students do. We did not find any evidence that it takes longer for female students to get the CIS degree; however, female students did change their majors more often. Conclusions: Female students tend to avoid IT majors; they often think they may not do well in the courses; however, such an assumption is not true. Our findings provide strategies for university and high school administration to be more proactive in developing recruiting strategies to attract and retain female CIS students.

Does the “Like” Habit of Social Networking Services Lower the Psychological Barriers to Recommendation Intention in Surveys?

Background: Companies often measure their customers’ recommendation intention using the loyalty index based on the idea that a customer who has high loyalty and is committed to a brand has the confidence to recommend it to others. The psychological barrier is higher for recommendation intention, which may influence the behavior of others than for satisfaction on an individual level. However, the action of recommending has become commonplace due to the spread of social networking services (SNS). Pushing the “like” button for posts by family, friends, and co-workers has become an ingrained practice for consumers. Therefore, it is thought that “like” habits in SNS may lower the psychological barriers to the recommendation. Objectives: In this study, it was hypothesized that the more people habitually like posts on SNS, the higher the score for their recommendation intention in a customer survey. Methods/Approach: Propensity score matching was used to investigate a causal effect between the likes and the recommendation intention in a customer survey. Results: Based on the results of an online survey of chocolate brands in Japan, the causal effect was verified by propensity score matching. Conclusions: The results suggest that not only in companies but also in academic research, a valid concern is that the causal effect cannot be accurately evaluated unless a survey design is performed in consideration of the effects.

Differences in Slovenian NUTS 3 Regions and Functional Regions by Gender

Background: Regions at the level of NUTS 3, which is a system used in the EU for various analyses and statistical reports, can be defined as functional regions in terms of labour markets, education areas, and supply markets. Objectives: This study analyses the functional regions of Slovenia, differentiated by gender, and their correspondence with the statistical regions at the level of NUTS 3. Methods/Approach: Functional regions are analysed as labour market areas, which are modelled according to the CURDS method, and evaluated using the fuzzy set approach. Results: The analysis of functional regions resulted in ten regions for male commuters and fourteen regions for female commuters. Only four of the twelve functional regions for commuters relate to the corresponding statistical regions. Functional region Ljubljana is much larger than the corresponding statistical region, mainly at the expense of neighbouring regions. In recent decades, two new functional regions have been created which are becoming candidates for inclusion in the system of NUTS 3 regions. Conclusions: A detailed analysis showed that functional region Velenje is becoming an important local labour market and should be included in the system of NUTS 3 regions of Slovenia, while the Central Sava Statistical Region should be removed from it.