Organizational Unit: Entrepreneurship
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ArticlePublication Metadata only Exporting is a team sport: the link between management training and performance in SMEs(Emerald, 2023-12) Idris, Bochra; Saridakis, G.; Georgellis, Y.; Lai, Y.; Johnstone, S.; Entrepreneurship; IDRIS, BochraPurpose: This paper examines how soft skills training for owner-managers affects the financial performance of exporting small and medium-sized enterprises (SMEs). Furthermore, the authors examine the differential influence of specific owner-manager skills, such as “team working skills”, “technical skills” and “leadership skills”, on performance. Design/methodology/approach: The paper utilises the Longitudinal Small Business Survey, which is a nationally representative employer dataset of UK SMEs with up to 249 employees, including those with no employees. The dataset contains information on firms' turnover, export status of goods or services and training provision for employees or owner-managers. Findings: The results suggest that owner-manager's training has a positive effect on turnover in non-exporting firms. Moreover, a combination of soft and hard skills is associated with higher turnover in exporting firms. Amongst the specific skills of owner-managers, training on “team working” has the most significant impact on exporting SMEs' performance. Practical implications: The authors' findings imply that managerial training to develop soft skills such as leadership, decision-making and communication is a worthwhile investment. The knowledge that owner-managers acquire through soft and hard skills training enables them to develop essential internationalisation competencies. Moreover, the authors demonstrate that teamwork is a significant predictor of performance. Originality/value: The authors contribute to the literature by examining the role of owner-managers' training in shaping internal systems, structure, processes and internationalisation strategies, thus affecting SMEs performance. The authors' also provide a nuanced analysis of how various types of soft and hard skills underpin the successful implementation of internationalisation initiatives.Book PartPublication Metadata only Big and lean is beautiful: a conceptual framework for data-based learning in marketing management(Emerald Publishing Limited, 2019-09-19) Soyer, E.; Pauwels, K.; Seggie, Steven Head; Entrepreneurship; Rindfleisch, A.; Malter, A. J.; SEGGIE, Steven HeadWhile Big Data offer marketing managers information that is high in volume, variety, velocity, and veracity (the 4Vs), these features wouldn't necessarily improve their decision-making. Managers would still be vulnerable to confirmation bias, control illusions, communication problems, and confidence issues (the 4Cs). The authors argue that traditional remedies for such biases don't go far enough and propose a lean start-up approach to data-based learning in marketing management. Specifically, they focus on the marketing analytics component of Big Data and how adaptations of the lean start-up methodology can be used in some combination with such analytics to help marketing managers improve their decision-making and innovation process. Beyond the often discussed technical obstacles and operational costs associated with handling Big Data, this chapter contributes by analyzing the various learning and decision-making problems that can emerge once the 4Vs of Big Data have materialized.Conference ObjectPublication Open Access An evaluation of energy efficiency measures in a Turkish campus building for thermal comfort and economic risk(International Building Performance Simulation Association, 2015) Wang, Q.; Öcal, M. Rıfat; Augenbroe, G.; Mengüç, Mustafa Pınar; Özuyar, Pınar Gökçin; Entrepreneurship; Mechanical Engineering; MENGÜÇ, Mustafa Pınar; ÖZUYAR, PinarAs new and retrofitted Turkish buildings adopt stateof-the-art energy efficiency measures, hidden risks associated with compromised thermal comfort and disappointing returns on investment could go unnoticed unless a building is subjected to an uncertainty and risk analysis. Standard deterministic predictions are not sufficient, as they do not capture the effects of uncertainty and variability with regard to local microclimate conditions, physical parameters, and discrepancies in the model formulations, also known as “model form uncertainties”. In this paper, we analyze the impact of uncertainty on the performance of a Turkish campus building. We examine the risk that an energy efficient design that is accepted because of the positive results of a conventional energy simulation, causes unacceptable discomfort and unsatisfactory returns on investment. The results of a comprehensive uncertainty analysis shows that these risks exist in certain areas and not in others. The predicted annual output of PV panels is relatively stable with only minor variability, which justifies the investment in Istanbul. Same with shading devices, which lead to a satisfactory internal rate of return under uncertainty. However, with regard to comfort we find that risks could be substantial. We find that relying completely on occupants opening and closing windows for fresh air with fan coil units maintaining the indoor temperature may lead to an insufficient supply of outdoor air for occupants and a substantial risk of overheating. Overall, the results of the analysis demonstrate that understanding risks is in some cases crucial to make an informed design decision regarding various energy saving design strategies.ArticlePublication Open Access Forecasting natural gas consumption in Istanbul using neural networks and multivariate time series methods(TÜBİTAK, 2012) Demirel, Ö. F.; Zaim, S.; Çalışkan, A.; Özuyar, Pınar Gökçin; Entrepreneurship; ÖZUYAR, PinarThe fast changes and developments in the world's economy have substantially increased energy consumption. Consequently, energy planning has become more critical and important. Forecasting is one of the main tools utilized in energy planning. Recently developed computational techniques such as genetic algorithms have led to easily produced and accurate forecasts. In this paper, a natural gas consumption forecasting methodology is developed and implemented with state-of-the-art techniques. We show that our forecasts are quite close to real consumption values. Accurate forecasting of natural gas consumption is extremely critical as the majority of purchasing agreements made are based on predictions. As a result, if the forecasts are not done correctly, either unused natural gas amounts must be paid or there will be shortages of natural gas in the planning periods.ArticlePublication Metadata only What does it take to get promoted in marketing academia? Understanding exceptional publication productivity in the leading marketing journals(American Marketing Association, 2009-01) Seggie, Steven Head; Griffith, D. A.; Entrepreneurship; SEGGIE, Steven HeadInstitutional competition to retain and recruit marketing scholars capable of publishing in the leading marketing journals has intensified. While increased emphasis has been placed on publication productivity in the leading marketing journals, little is known as to questions such as: (1) What level of publication productivity in the leading marketing journals does it take to getpromoted in marketing academia? (2) What level of publication productivity in the leading marketing journals warrants exception? and (3) What drives research productivity in the leading marketing journals? We draw on the economic concept of imperfect substitution to address these questions using two datasets: (1) a census of publication activity in the leading marketing journals of 337 scholars in the Top 70 institutions promoted between 1992-2006, and (2) anexamination of 2,672 scholars publishing 3,492 articles in the four leading marketing journals over the period 1982-2006. The results indicate that the average number of publications by successful candidates for promotion to associate professor from Ph.D. conferral at Top 10 institutions was .57 articles in the leading marketing journals per year, compared to .47 in the Top 11-20 institutions, .47 in the Top 21-40 institutions and .26 in the Top 41-70 institutions. Findings related to promotion to full professor from both Ph.D. conferral and from promotion to associate professor, and those identified as warranting exceptional publication productivity are also presented. The findings provide substantive implications for marketing academics, those involved with the recruitment and retention of marketing academics and the field of marketing thought.ArticlePublication Open Access Captain or deckhand? The impact of self-leadership on employees’ work role performance under remote work(Frontiers Media, 2022-11-25) Maden-Eyiusta, Ceyda; Alparslan, S. E.; Entrepreneurship; EYİUSTA, Ceyda MadenRelying on self-determination theory, this study investigates the mediating role of psychological empowerment in the relationship between self-leadership and work role performance (task proficiency, task adaptivity, and task proactivity) in remote work settings. It also explores whether and how supervisor close monitoring moderates the indirect impact of self-leadership on work role performance. Hypotheses were tested using a two-study design including white-collar employees from a broad range of jobs and companies (Study 1) and employee-supervisor dyads working in small and medium-sized firms (Study 2) in Turkey. In Study 1, results showed that self-leadership had a positive indirect effect on employees’ work role performance through psychological empowerment. In Study 2, the cross-lagged two-wave design provided support for this indirect effect while demonstrating partial support for the moderating role of supervisor close monitoring. The current study contributes to research on self-leadership and work role performance by providing a detailed understanding of the motivational process through which self-leadership leads to increased work role performance. It also offers practical insights for enhancing self-leaders’ work role performance, particularly within the remote work context.Conference ObjectPublication Metadata only Digital technology and the stages of digital business transformation(IEEE, 2022) Mutlu, Irmak; den Hartigh, Erik; Üçler, Çağlar; Entrepreneurship; Professional Flight Program; HARTIGH, Erık Den; ÜÇLER, Çağlar; Mutlu, IrmakCompanies use digital technology to transform their business. Digitization, digitalization, and digital transformation have been proposed as stages in this business transformation process. Researchers have also proposed a variety of maturity models to assess this transformation. The distinctions and the ontology between the stages of digital transformation are not always clearly defined. Using expert interviews and literature review this paper derived a domain-specific ontology from commonly expressed keywords. Based on this, five stages of digital transformation were distinguished and defined: (i) digital passive, (ii) digitization, (iii) digitalization, (iv) digital transition and (v) digital transformation. These five stages may be used in further research as a rubric to assess digital business transformation.ArticlePublication Metadata only The effect of internal and external technology sourcing on firm performance throughout the technology life cycle(Informa Group Company, 2012) Stolwijk, C. C. M.; Vanhaverbeke, W. P. M.; Ortt, J. R.; Pieters, M. W.; den Hartigh, Erik; Beers, C. van; Entrepreneurship; HARTIGH, Erık DenIn studies about the impact of technology sourcing on firm performance, the impact of the technology life cycle has thus far received scant attention. This paper investigates this topic from the knowledge-based perspective. Data was gathered from 22 PLD (Programmable Logic Device) manufacturers in the integrated circuit industry between 1986 and 2005, and used to test two hypotheses based on panel analysis: (1) that strategic alliance networks, as a mode of external technology sourcing, have a positive effect on a firm's innovative and market performance early in the technology life cycle, and (2) that internal development as a mode of internal technology sourcing has a positive effect on a firm's innovative and market performance later in the technology life cycle. Although both hypotheses are supported as far as market performance is concerned, neither is supported when it comes to innovative performance.Book PartPublication Metadata only Lessons learned about the hindering factors for regional cooperation towards the mitigation of climate change(Springer Nature, 2019) Özuyar, Pınar Gökçin; Entrepreneurship; ÖZUYAR, PinarAs the importance of climate change mitigation and adaptation increases, tools to assist these ranging from training materials, awareness raising event models to company level cooperation tools are being introduced to various stakeholders. These tools can only be effective by extensive utilisation throughout the globe which requires the communication and awareness raising on climate change. The actual implementation and impact assessment of these tools need to be further investigated. Opportunities and barriers for the use of such tools and whether climate change communication is an enhancing or hindering effect is very important in this investigation. As an example for such a tool, an industrial symbiosis model where an unorthodox regional approach is taken rather than close proximity cooperating companies, has been implemented in the Western Black Sea Region countries. The results of the study include three major barriers; namely, lack of regional policy and relevant legislation, trust among companies and a common working language in the region. The effects of other barriers and possible opportunities that would hinder these barriers are discussed in this study including the lack of regional policies on climate change based on one-to-one interviews with selected company representatives in the region. The lessons learned are significant for similar regional exemplary tools of sustainable development and climate change mitigation practices.ArticlePublication Metadata only Using machine learning tools for forecasting natural gas consumption in the province of Istanbul(Elsevier, 2019-05) Beyca, Ö. F.; Ervural, B. C.; Tatoglu, E.; Özuyar, Pınar Gökçin; Zaim, S.; Entrepreneurship; ÖZUYAR, PinarCommensurate with unprecedented increases in energy demand, a well-constructed forecasting model is vital to managing energy policies effectively by providing energy diversity and energy requirements that adapt to the dynamic structure of the country. In this study, we employ three alternative popular machine learning tools for rigorous projection of natural gas consumption in the province of Istanbul, Turkey's largest natural gas-consuming mega-city. These tools include multiple linear regression (MLR), an artificial neural network approach (ANN) and support vector regression (SVR). The results indicate that the SVR is much superior to ANN technique, providing more reliable and accurate results in terms of lower prediction errors for time series forecasting of natural gas consumption. This study could well serve a useful benchmarking study for many emerging countries due to the data structure, consumption frequency, and consumption behavior of consumers in various time-periods.