scholarly journals The Joint Effect of Institutional Profile and National Innovation System on the types of Entrepreneurship

2021 ◽  
Vol 9 (3) ◽  
pp. 255-267
Author(s):  
Mehdi Sharifi Khobdeh ◽  
Sogand Tayebinaz
Keyword(s):  
Hierarchical Linear Modeling ◽  
Innovation System ◽  
Joint Effect ◽  
Institutional Arrangements ◽  
National Innovation System ◽  
Theory And Practice ◽  
General Level ◽  
Linear Modeling ◽  
Institutional Profile ◽  
The Impact

While prior research has uncovered the impact of some national institutions on the general level of entrepreneurship in a country, there is still limited knowledge about the role of the institutional arrangements of a country on specific types of entrepreneurial activities, namely necessity versus opportunity entrepreneurship. To address this gap, we conduct a multilevel analysis using a sample of 10776 individuals from 55 diverse countries to examine how institutional factors (i.e., countries’ institutional profile and national innovation system) impact entrepreneur’s choice of pursuing a specific type of entrepreneurship. Using Hierarchical Linear Modeling, the findings indicate that neither institutional profile nor national innovation system (NIS) elements solely determine the choice between opportunity motivated entrepreneurship (OME) and necessity motivated entrepreneurship (NME); however, OME tends to be higher in instances when supportive institutional arrangements (regulatory, normative, and cognitive) toward entrepreneurship get coupled with national innovation system factors. The study contributes to a more nuanced understanding of embedded agency within the institutional logics perspective. It bridges the literature on individual and institutional antecedents of entrepreneurship. Further implications for theory and practice are discussed.

Do Reform Values Matter? Federal Worker Satisfaction and Turnover Intention at the Dawn of the Trump Presidency

2017 ◽  
Vol 48 (6) ◽  
pp. 506-521 ◽  
Author(s):  
Sung Min Park ◽  
Maria Ernita Joaquin ◽  
Kyoung Ryoul Min ◽  
Reginald G. Ugaddan
Keyword(s):  
Job Satisfaction ◽  
Hierarchical Linear Modeling ◽  
Turnover Intention ◽  
Positive Impact ◽  
Theory And Practice ◽  
Flexible Work ◽  
Linear Modeling ◽  
Work Systems ◽  
Worker Satisfaction ◽  
The Impact

With heightened bureaucratic bashing and the planned reorganization of the U.S. federal bureaucracy, hiring is going to be difficult, but what could make those already in the service satisfied and willing to stay in their jobs? How could flexible work systems have an impact on worker job satisfaction and turnover intention? Using hierarchical linear modeling, we explore the impact of alternative work systems on employee job satisfaction and turnover intention in the context of values underlying managerial reforms. Flexible work systems are found to have a positive impact moderated by the kind of values promoted by particular reforms. A discussion on the main findings, research, and practical implications for public human resource management theory and practice is provided.

scholarly journals Does a National Innovation System Encourage Sustainability? Lessons from the Construction Industry in Serbia

2021 ◽  
Vol 13 (7) ◽  
pp. 3591
Author(s):  
Marija Mosurović Ružičić ◽  
Mirjana Miletić ◽  
Marina Dobrota
Keyword(s):  
Energy Efficiency ◽  
Construction Industry ◽  
Innovation System ◽  
Business Environment ◽  
National Innovation System ◽  
Eastern European ◽  
System Perspective ◽  
Modern Business ◽  
Eastern European Countries ◽  
The Impact

Influences from the modern business environment indicate the need for the incorporation of sustainability concepts from an innovation system perspective. In the presented research, we emphasize the energy efficiency concept within the frame of sustainability and innovation. The aim of this research was to underline and explore the relationships between innovation, energy efficiency, and sustainability in the construction industry. To answer the research questions, a questionnaire was created to explore the impact of the energy efficiency certification process on the innovation behavior of construction industry enterprises in Serbia. The results show that energy efficiency has supported innovation, and that there exists a relationship between sustainability and innovativeness in the construction industry. Applying energy efficiency passports has influenced the co-operation of enterprises in the construction sector and other actors in the national innovation system in Serbia. The innovation concept demonstrates that enterprises in the construction industry should be observed as a part of the wider picture—the national innovation system. In turn, the specific context of a particular national innovation system should be seen within the wider picture of national innovation systems of Central and Eastern European Countries (CEECs).

scholarly journals Rhythmic Features of Movement Synchrony for Bonding Individuals in Dyadic Interaction

2019 ◽  
Vol 44 (1) ◽  
pp. 173-193 ◽  
Author(s):  
Ken Fujiwara ◽  
Masanori Kimura ◽  
Ikuo Daibo
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dyadic Interaction ◽  
Wavelet Coherence ◽  
Linear Modeling ◽  
Theoretical Contribution ◽  
Bonding Effect ◽  
Slow Tempo ◽  
Movement Synchrony ◽  
The Impact

Abstract This study examined ways in which rhythmic features of movement contribute to bonding between individuals. Though previous studies have described synchrony as a form of social glue, this research extends those findings to consider the impact of fast versus slow tempo on movement synchrony. This two-part experiment examined dyadic interactions as they occurred between same-sex strangers (Study 1) and friends (Study 2). Participants were video-recorded as they engaged in 5- or 6-min chats, and synchrony was evaluated using wavelet transform via calculations of cross-wavelet coherence. Study 1 employed regression commonality analysis and hierarchical linear modeling and found that among various frequency bands, rapport between individuals was positively associated with synchrony under 0.025 Hz (i.e., slower than once every 40 s) and 0.5–1.5 Hz (i.e., once every 0.67–2 s). On the contrary, Study 2 determined that synchrony of 0.5–1.5 Hz was not impactful among friend dyads and only predictive of the motivation to cultivate a friendly relationship during interactions with strangers. These results indicate the existence of a distinctive rhythm for bonding individuals, and the role of pre-existing friendship as a moderator of the bonding effect of synchrony. However, the role of relative phase (i.e., timing of movement; same versus opposite timing) remains unclear, as the ratio of in- and anti-phase patterning had no significant influence on perceived rapport and motivation to develop relationships. On the basis of the research results, a theoretical contribution is proposed to the study of interpersonal coordination.

Knowledge Sharing, Organizational Climate, and Innovative Behavior: A Cross-Level Analysis of Effects

2013 ◽  
Vol 41 (1) ◽  
pp. 143-156 ◽  
Author(s):  
Chien Yu ◽  
Tsai-Fang Yu ◽  
Chin-Cheh Yu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Hierarchical Linear Modeling ◽  
Organizational Innovation ◽  
Positive Association ◽  
Innovative Behavior ◽  
Linear Modeling ◽  
Individual Level ◽  
Innovation Climate ◽  
The Impact

We investigated individual-level knowledge sharing and innovative behavior of employees, organizational innovation climate, and interactions between the individual level of knowledge sharing and the climate of innovation within the organization as a whole. Employees of public corporations in the Taiwanese finance and insurance industries participated in this study. Hierarchical linear modeling (HLM) indicated a positive association between knowledge sharing and innovative behavior and a positive association between organizational innovation climate and innovative behavior. According to the results of HLM organizational innovation climate did not act as a moderator on the impact of knowledge sharing on innovative behavior.

Formation of the national innovation system of tourism development as a factor of investment climate improvement in the region

2015 ◽  
Vol 9 (2) ◽  
pp. 34-39
Author(s):  
Хаджимурад Халимбеков ◽  
Khadzhimurad Khalimbekov ◽  
Заира Шахбанова ◽  
Zaira Shakhbanova
Keyword(s):  
Russian Federation ◽  
Innovation System ◽  
Tourism Development ◽  
National Innovation System ◽  
Tourism Industry ◽  
Investment Climate ◽  
Cluster Approach ◽  
Tourism Sector ◽  
The Russian Federation ◽  
The Impact

The article analyzes the impact of tourism on improving investment climate in the region. The main factors of investment attractiveness of the developing areas of tourism are considered, among which the ability of the tourism industry to develop on almost any site with a variety of conditions and resources of activity that is related to diversity of tourist activities; and the multiplier effect of tourism development which contributes to the development of related sectors of activity. The article presents the results of a study of various aspects of the formation of the national innovation system for the development of tourism. In particular, characterized are the features of the implementation of the cluster approach to the development of tourism in the territories of the Russian Federation, among which the most outstanding are: the lack of experience in the implementation of the cluster approach or unsuccessful attempts to copy foreign experience; priority areas in the development of only one type of clusters — the territorial-production; imperfection of the regulatory framework. These problems, according to the authors, exist along with the typical problems of tourism clusters, which include inadequate specialized infrastructure and services; the poor state of the key tourist sites; failure to comply with quality standards (or their absence) for services offered to tourists. According to the analysis of the legal documentation in the tourism sector of the Russian Federation and monitoring of the development of tourist areas in the article substantiated is the conclusion about the need to tough public policy, defining legal boundaries and strategic guidelines for the development of tourism on the innovative type, as well as the need to adjust the existing practice of tourism territories, which currently does not increase the investment attractiveness of regions.

Converting service encounters into cross-selling opportunities

2015 ◽  
Vol 49 (3/4) ◽  
pp. 491-511 ◽  
Author(s):  
Ting Yu ◽  
Paul Patterson ◽  
Ko de Ruyter
Keyword(s):  
Goal Orientation ◽  
Hierarchical Linear Modeling ◽  
Positive Impact ◽  
Positive Influence ◽  
Linear Modeling ◽  
Research Issues ◽  
Content Type ◽  
Joint Influence ◽  
The Impact ◽  
A Performance

Purpose – This paper aims to examine how the motivation and ability of individual employees to sell influences their units’ capability to align their service delivery with sales in a way that satisfies customers. It also addresses the potential influence of employees’ confidence in their supervisor’s ability to sell, such that they predict a joint influence of personal and proxy agency. Design/methodology/approach – This study uses hierarchical linear modeling to address the research issues. Findings – Employees’ learning orientation has a positive influence on service-sales ambidexterity, but the impact of a performance-avoidance goal orientation is negative, and a performance-prove orientation has no influence. Proxy efficacy enhances the positive impact of learning orientations due to the manager’s ability to lead by example, facilitate knowledge sharing and provide advice. However, it attenuates the impact of self-efficacy on service-sales ambidexterity, because skilled supervisors tend to take over and eliminate opportunities for employees to build their own skills. It also confirms the positive influence of service-sales ambidexterity on branch performance. Originality/value – To examine the emerging service-sales ambidexterity issues raised in frontline service units, this study adopts a motivation and capability paradigm. It is among the first studies to address service-sales ambidexterity issues by considering both individual and branch contextual factors.

scholarly journals The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling

2021 ◽  
Vol 12 ◽  
Author(s):  
Soyoung Kim ◽  
Yoonhwa Jeong ◽  
Sehee Hong
Keyword(s):  
Random Effects ◽  
Hierarchical Linear Modeling ◽  
Fixed Effects ◽  
Random Effect ◽  
Information Criteria ◽  
Linear Modeling ◽  
Random Effect Modeling ◽  
Error Bias ◽  
The Impact ◽  
Level 2

The present study investigated estimate biases in cross-classified random effect modeling (CCREM) and hierarchical linear modeling (HLM) when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of coefficient, the correlation between the level 2 residuals, the number of groups, the average number of individuals sampled from each group, the intra-unit correlation coefficient, and the number of feeders. The targeted interests of the coefficients were four fixed effects and two random effects. The results showed that ignoring a crossed factor in cross-classified data causes a parameter bias for the random effects of level 2 predictors and a standard error bias for the fixed effects of intercepts, level 1 predictors, and level 2 predictors. Bayesian information criteria generally outperformed Akaike information criteria in detecting the correct model.

The Impact of Neighborhood Characteristics on Housing Prices-An Application of Hierarchical Linear Modeling

2012 ◽  
Vol 1 (2) ◽  
pp. 31-44
Author(s):  
Lee Chun Chang ◽  
Hui-Yu Lin
Keyword(s):  
Empirical Study ◽  
Hierarchical Linear Modeling ◽  
House Prices ◽  
Housing Prices ◽  
Neighborhood Characteristics ◽  
Linear Modeling ◽  
Hierarchical Linear Modelling ◽  
Neighborhood Characteristic ◽  
Linear Modelling ◽  
The Impact

Housing data are of a nested nature as houses are nested in a village, a town, or a county. This study thus applies HLM (hierarchical linear modelling) in an empirical study by adding neighborhood characteristic variables into the model for consideration. Using the housing data of 31 neighborhoods in the Taipei area as analysis samples and three HLM sub-models, this study discusses the impact of neighborhood characteristics on house prices. The empirical results indicate that the impact of various neighborhood characteristics on average housing prices is different and that the impact of house characteristics on house prices is also moderated by neighborhood characteristics.

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