Performance implications of industry appropriability for manufacturing SMEs

2015 ◽  
Vol 26 (5) ◽  
pp. 660-677 ◽  
Author(s):  
Safal Batra ◽  
Sunil Sharma ◽  
Mukund R Dixit ◽  
Neharika Vohra ◽  
Vishal K Gupta

Purpose – Industry appropriability – the degree to which firms in an industry can appropriate benefits from their innovations – is a crucial dimension of industry environment. Small and medium manufacturing enterprises (manufacturing SMEs), because of their limited resource base, tend to be especially sensitive to the appropriability conditions in their industry. The purpose of this paper is to understand the influence of industry appropriability on firm outcomes (innovativeness and performance), and posits technology orientation as a dynamic capability that helps firms overcome appropriability barriers in their industry. Design/methodology/approach – Data were collected from 162 manufacturing SMEs in India. Multiple linear regression analysis was used to test the proposed hypotheses. Findings – This study reveals that the perceived level of appropriability of manufacturing SMEs impacts their innovativeness. Further, findings also support technology orientation as a crucial firm-specific characteristic which enables firms to overcome unfavorable appropriability conditions. Technology orientation plays a significant role in mitigating the negative impact of lower appropriability conditions. Even when the patent regime is unfavorable, technology-oriented firms are able to innovate and perform better. Practical implications – The findings suggest technology orientation as a strategic mechanism for manufacturing SMEs to respond to conditions of unfavorable appropriability regime. Originality/value – This study elaborates the benefits of integrating industry-level and firm-level characteristics. Specifically, an attempt was made to extend the existing research on industry appropriability by bringing in the contingent effect of technology orientation. The context of manufacturing SMEs yielded several interesting insights.


2019 ◽  
Vol 26 (3) ◽  
pp. 337-362
Author(s):  
Gwyneth Edwards ◽  
Abdulrahman Chikhouni ◽  
Rick Molz

Purpose The purpose of this paper is to investigate how the relative institutional distance of the subsidiary from the multinational enterprise (MNE) headquarters influences job satisfaction in the subsidiary. The authors argue that job satisfaction in the MNE subsidiary will be influenced by the institutional distance between the firm’s home (headquarter) and host (subsidiary) countries, such that the greater the institutional distance, the less satisfied the subsidiary employees. The authors also argue that the degree of function interdependence (global vs local roles) will moderate this relationship, such that high interdependence will result in lower job satisfaction as distance increases. Design/methodology/approach Using data from a global high-tech Canadian MNE, consisting of over 15,000 employees located in 19 subsidiaries, the research undertakes an empirical investigation that identifies if and how job satisfaction varies between countries and tests the influence of subsidiary-level institutional distance from the headquarters on subsidiary-level job satisfaction, using a multilevel model. Findings The results demonstrate that subsidiary distance from the headquarters has a complex effect on subsidiary-level job satisfaction; in some distances, no effect is found, while in others, either some or all job satisfaction facets are affected (depending on the distance and facet) in both positive and negative ways. Unlike much of the past research on distance, which has treated distance as a barrier to be overcome or reduce (Stahl et al., 2016), the paper’s finding demonstrate that “negative” distance operates independently (and at varying strengths and significance) than “positive” distance, due to underlying mechanisms. Research limitations/implications There is a real opportunity to push ahead on linking international business strategy research with organizational theory and organizational behavior research. To do so, it requires not only a positive organizational scholarship approach (Stahl et al., 2016) but also methods that will allow researchers to study the influence of distance on mechanisms and processes, as opposed to stand-alone variables. The authors therefore suggest that future work in this area pursue qualitative methods as called for by Chapman et al. (2008). Practical implications Findings are surprising, in that results vary across job facets and distances. Practitioners need to therefore focus on the mechanisms that influence job satisfaction, not just differences and their potential negative impact. Originality/value The firm-level study provides a rich perspective on the complex way in which country-level differences influence subsidiary-level job satisfaction.



2016 ◽  
Vol 8 (3) ◽  
pp. 376-389 ◽  
Author(s):  
Pranab Kumar Pani ◽  
Pallavi Kishore

Purpose – There is growing evidence that learning is faster, measurably better and more productive in a classroom setting when a student attends classes regularly. Each student brings in his/her experience, skills, and unique learning styles to a class – thus a classroom environment can potentially create positive externalities through which a student can gain substantially from various strengths of his/her peers. However, students do remain absent from their classes for a variety of reasons. One of the measurable effects of regular non-attendance in a university class, where students from various cultures and regions interact, is the academic performance. The purpose of this paper is to determine if there is any potential causal link between absenteeism (attendance) and academic performance. Design/methodology/approach – Data were culled from the records of three batches of students in a British university campus in the Middle East. Quantile regression methods were used to establish the causal relationship between absenteeism and academic performance. Findings – A quantile regression analysis reveals that absenteeism has negative impact on academic performance. This also suggests that low performers are worse affected by absenteeism as compared to the high performers. Research limitations/implications – Inclusion of some other factors, such as study habits, additional hours spent on quantitative modules, student’s ethnicity background, particularly in the context of United Arab Emirates, could have emboldened the robustness of the study. Non-availability or paucity of this information, to some degree, has limited the conclusions of this study. Originality/value – Proponents of mandatory attendance argue that there is a positive correlation between attendance and performance. But, one very important issue which gets overlooked is who actually benefits more by attending classes – are the shirkers who have a poor attendance record or the ones who are more sincere, more regular, and active participants in a class? This study uses quantile regression analysis to address this issue.



2020 ◽  
Vol 10 (2) ◽  
pp. 178-187
Author(s):  
Bambang Priatama

The study was conducted at the Ministry of Public Works and Public Housing Snvt Provision of Housing in Riau Province. The aim is to find out the direct effect of educational background and selection, on the competence and performance of field workers with supervision as a moderating variable. This study took a sample of 128 people. The variables used are educational background, selection, competence and performance and supervision. Data were analyzed using multiple linear regression analysis methods operated through the SPSS program. The results showed that there was an influence of educational background and selection on the competence of field workers. And simultaneously there is an influence of educational background and selection on competence. And there is an effect of competence on performance which is moderated by supervision. The better the supervision, the competence of field staff will increase.



2020 ◽  
Vol 8 (3) ◽  
pp. 488-499
Author(s):  
Endang Tirtana Putra ◽  
Abdi Rezki

This study applies multiple linear regression analysis with the SPSS Version 16.0 program. To get estimate and good interpretation of this study, the samples studied are set to 32 respondents. Data are collected through a questionnaire to measure quantitative variables with a Likert scale. The results of this study show that there is a relationship between independent variables on dependent variable, and it can be explained that: (1) Remuneration variable does not have significant impact on employee performance, with a regression coefficient of 0.181 and significant rate 0.104 (> 0.05). (2) Motivation variable has significant impactt on employee performance with a regression coefficient of 0.559 and significant rate 0,000 (<0.05). (3) Independent variables simultaneously have significant impact on employee performance with regression coefficient of 1.094 and significant rate 0.000 (<0.05). R² value shows 0.589 or 58.9%. Employee performance variable is affected by Remuneration and Motivation Variables and the remaining 41.1% is affected by other variables.Keywords : Remuneration, Motivation and Performance



2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asier Minondo

Purpose This paper aims to analyze the impact of COVID-19 on the trade of goods and services in Spain. Design/methodology/approach This paper uses monthly trade data at the product, region and firm level. Findings The COVID-19 crisis has led to the sharpest collapse in the Spanish trade of goods and services in recent decades. The containment measures adopted to arrest the spread of the virus have caused an especially intense fall of trade in services. The large share of transport equipment, capital goods, products that are consumed outdoors (i.e., outdoor goods) and tourism in Spanish exports has made the COVID-19 trade crisis more intense in Spain than in the rest of the European Union. Practical implications The nature of the collapse suggests that trade in goods can recover swiftly when the health crisis ends. However, COVID-19 may have a long-term negative impact on the trade of services that rely on the movement of people. Originality/value It contributes to understand how COVID-19 has affected the trade in goods and services in Spain.



2017 ◽  
Vol 38 (1) ◽  
pp. 56-73 ◽  
Author(s):  
Dainelis Cabeza Pulles ◽  
Francisco Javier LLorens Montes ◽  
Leopoldo Gutierrez-Gutierrrez

Purpose The purpose of this paper is to study the relationship between network ties (NT) and transactive memory systems (TMS), observed through three dimensions – specialization (TMSS), credibility (TMSCR), and coordination (TMSCO) – in the presence of leadership (LDR) as a moderating variable, in university research-and-development (R&D) groups. Design/methodology/approach The data are composed of 257 university R&D groups. To confirm the hypotheses, the authors use multiple linear regression analysis with a moderating effect. Findings The conclusions show that the relationships between NT and two of the three dimensions of TMS (TMSCR and TMSCO) are significant when LDR is included as a moderating variable. Although the effect of TMSS is positive, it is not significant. Including the interaction element enables better explanation of two of the dimensions of TMS in the sector analyzed. Thus, LDR is perfectly applicable to the university R&D environment. Research limitations/implications This research has several limitations that suggest further possibilities for empirical research. The limitations include the cross-sectional nature of the research and the judgment of a single manager as the basis of the perception analyzed for each group. Practical implications The authors provide several implications for R&D practitioners. The results of this study could be validated in other universities in other geographic areas, enabling better generalization and applicability of the results. The results described may serve as a guide for group leaders of university R&D. This research helps us to see the importance of LDR in forming internal research networks that help researchers to perform common projects in order to obtain better results in the group. Thus, the groups provided better results to society. Originality/value No studies have tested the moderating effect of LDR in university R&D empirically. The results provide information to fill this gap and demonstrate the applicability of LDR as a key element in the organization, improvement, and cohesion of R&D groups.



Author(s):  
Olivia F. Lee ◽  
Can Uslay ◽  
Matthew L. Meuter

This chapter explores the firm-level technology orientation construct and highlights the importance of a small firm’s dynamic capabilities in knowledge learning and management. Technology orientation (TECHOR) is comprised of three sets of technology-oriented activities: the allocation of technology resources, the development of technology competence, and the ability to sense and respond to technology opportunities that influence technology adoption and utilization. As firms engage in more of these activities, they will have higher levels of technology orientation. Antecedents to TECHOR include external forces (technology policy and industry characteristics) and internal dynamics (role of management, interdepartmental connections, and organizational factors). Consequences include customer outcomes (technology learning, perceived quality, and loyalty), employee outcomes (technology learning, job satisfaction, and performance) and organizational outcomes (firm performance and competitive advantage). Small firms that can deliver the appropriate match between the required technology-oriented activities, technology adoption, and utilization are the ones that are likely to survive and thrive.



2020 ◽  
Vol 42 (6) ◽  
pp. 1441-1463
Author(s):  
Daphne Nicolitsas

PurposeThe paper aims to link product market features in the Greek metal processing sector to the wage-setting practices followed therein.Design/methodology/approachAggregate business structural statistics are used to document the product market structure features while information from a rich sectoral collective agreement database, covering a number of sectors of the Greek economy, is used for the wage-setting practices. The approach is, in general, descriptive and discursive with the use of some regression analysis.FindingsThe main findings of the paper include: first, the metal sector as a whole is heterogeneous in terms of its structural/productive features; second, the type of collective agreements followed in the subsectors of the metal sector appear related to the structural features of the subsectors; third, negotiated wages appear binding for subsectors facing less product market competition; and finally, the ability to opt out of the sectoral agreement and sign firm-level agreements during the recent crisis in Greece was used mainly by firms suffering accounting losses.Research limitations/implicationsThe research results are limited by the absence of detailed firm-level information both on the actual wages paid and on the exact industrial relations practices in the workplace.Originality/valueIn view of the changes taking place in industrial relations in general and collective bargaining in particular, the issue of the homogeneity – in terms of structure and performance – of individual sectors, sets the question of whether one size (agreement) fits all and consequently whether extensions of agreements to whole sectors are advisable. This is the spirit in which the paper is written. The originality is linked both to the issue addressed but also to the use of the detailed collective labour agreements information and its association with product market features.



2020 ◽  
Vol 20 (3) ◽  
pp. 401-427
Author(s):  
Babatunji Samuel Adedeji ◽  
Tze San Ong ◽  
Md Uzir Hossain Uzir ◽  
Abu Bakar Abdul Hamid

Purpose The non-existence of the corporate governance (CG) concept for practices by non-financial medium-sized firms (MSFs) in Nigeria informed. This study aims to determine whether CG practices influence firms’ performance and whether sustainability initiative (SI) mediates the relationship between CG and MSFs’ performance in Nigeria. Design/methodology/approach A total of 300 firms were selected on convenience sampling basis from South Western Nigeria using a structured questionnaire. The authors used Statistical Package for Social Sciences for exploratory data analysis and hypotheses were tested using covariance-based structural equation modelling. Findings The results show that CG has a significant positive effect on performance [financial performance (FNP) and non-financial performance (NFP)] and SI. SI has a mixed impact on performance, e.g. a significant positive impact on NFP but insignificant negative impact on FNP. Similarly, SI has a combined mediating effect in the relationship between CG and performance, e.g. fully mediates CG → NFP and does not mediate CG → FNP. Firms are to invest in social and environmental initiatives substantially. CG codes will complement the International Financial Reporting Standards for MSFs. Research limitations/implications This study supports the assumptions of theories (institutional, stakeholder and agency) as the basis for the usage of multiple approaches to determine the outcome of hypotheses, especially in developing climes. Practical implications The study contributes to CG and performance literature by examining the mediating effects of SI. The paper also shows the necessity to emphasise NFP aspect. Policymakers should evolve CG codes to encourage stakeholders to believe more in the corporate existence of MSFs for strengthening capital-base and quality personnel engagement. Originality/value To the best of the authors’ knowledge, this is one of the first empirical attempts showing the evidence on the relationship between CG and NFP in Nigeria.



2017 ◽  
Vol 24 (1) ◽  
pp. 21-39 ◽  
Author(s):  
Richard Ohene Asiedu ◽  
Nana Kena Frempong ◽  
Hans Wilhelm Alfen

Purpose Being able to predict the likelihood of a project to overrun its cost before the contract signing phase is crucial in developing the required mitigating measures to avert it. Known parameters that permit the timely prediction of cost overrun provide the basis for such predictions. Therefore, the purpose of this paper is to develop a model for forecasting cost overruns. Design/methodology/approach Ten predictive variables known before the contract signing phase of a project are identified. Based on a survey approach, information on 321 educational projects completed are compiled. A multiple linear regression analysis is adopted for the model development. Findings Five variables – initial contract sum, gross floor area, number of storeys, source of funds and contractors’ financial classification are observed to influence cost overruns. The model, however, yields a fairly weak coefficient of determination with a mean absolute percentage error of 30.22 and 138 per cent, respectively. Research limitations/implications The model developed focussed on data only educational projects sampled from three out of the ten administration regions in Ghana based on a purposive sampling approach. Practical implications Policy makers and construction managers working on public projects stand to gain tremendous assistance in formulating and strengthening their own in-house cost forecasting at the precontract phase based on “what if” analysis to generate various alternative predictions of cost overruns. Originality/value Considering the innate nature of cost overruns within the Ghanaian construction industry often resulting to project abandonment, this research presents a unique dimension for tackling cost overruns based on a predictive approach.



Sign in / Sign up

Export Citation Format

Share Document