Cleaner production through open innovation in Indonesian batik small and medium enterprises (SME)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Augustina Asih Rumanti ◽  
Indryati Sunaryo ◽  
Iwan Inrawan Wiratmadja ◽  
Dradjad Irianto
Keyword(s):  
Waste Management ◽  
Open Innovation ◽  
Cleaner Production ◽  
Production Model ◽  
Equation Modeling ◽  
Synthetic Dyes ◽  
Research Model ◽  
Accuracy Rate ◽  
Content Type ◽  
Innovation Climate

PurposeThe purpose of this paper is to design a research model and analyze the relationship between open innovation and cleaner production. The paper maps and characterizes the conditions of open innovation against cleaner production in Indonesian batik small and medium enterprise (SME), particularly in Java and Madura. The mapping process is executed by classifying the batik SME into four quadrants. The diagram is a quadrant in which there are four parts to distinguish each of the ability of batik SMEs in understanding and achieving cleaner production through open innovation. This research will obtain a new method or model that can be applied by organizations to achieve cleaner production through an open innovation. The data is obtained from 182 batik SMEs located in Laweyan, Madura and Lasem (in Java Island, Indonesia).Design/methodology/approachOne of the problems in batik SME is the waste management from the dyeing and wax removal process. In the first stages of this research, a number of initial models were elaborated as a reference, then the results of the elaboration became a new research model. The research model that has been produced is then tested using data from respondents. Based on the test results, the model can be stated valid or not. In this study, the model is valid after testing data from 182 respondents, because all outer loading for all indicators is above 0.7. The composite reliability and AVE values of all constructs were above 0.7 and 0.5. Based on the validated research model, the data is statistically processed by using the Structural Equation Modeling (SEM). By using the SEM method and statistical software SMART PLS 3.0this research can be supported to achieve the research objectives.FindingsBased on data testing and processing, open innovation climate could predict a sustained relationship to open innovation with an accuracy rate of 0.466 and influence rate of 0.427, whereas open innovation could predict a sustained relationship to cleaner production with an accuracy rate of 0.183 and influence rate of 0.324. The relationships between open innovation climate and open innovation; including open innovation toward cleaner production, are statistically significant because all prediction values and accuracy in the model have met the criteria for measurement parameters based on the value of R2, p value and T-statistics to be stated as a significant relationship.Research limitations/implicationsThis research provides an overview of the influence and importance of open innovation in creating an environmentally friendly production process in the context of cleaner production. Cleaner production on batik SMEs can be achieved through open innovation, both for inbound open innovation and outbound open innovation. Open innovation comprehensively provides support for batik SMEs in achieving cleaner production. Open innovation can be run well and optimally if it gets support from a conducive climate open innovation. Furthermore, the implementation of cleaner production could be a guideline for the owner to minimize the waste from batik SME production, both for natural and synthetic dyes. Some limitations in these study include the absence of influence from the existing stakeholders on batik SMEs on the implementation process of open innovation; the use of the cross-sectional approach that results in the unavailability of further analysis regarding the dynamics or improvements that occur in attaining cleaner production through open innovation; and finally providing no analysis of the differences in characteristics at each location of batik SMEs.Originality/valueThe implementation of cleaner production model is considered as one of the new methods and references in conjunction with reducing the negative impact of waste toward the environment, particularly in the traditional textile industry which is limited in waste management capability.

On the path towards open innovation: assessing the role of knowledge management capability and environmental dynamism in SMEs

2017 ◽  
Vol 21 (3) ◽  
pp. 553-570 ◽  
Author(s):  
Isabel Martinez-Conesa ◽  
Pedro Soto-Acosta ◽  
Elias George Carayannis
Keyword(s):  
Knowledge Management ◽  
Open Innovation ◽  
Equation Modeling ◽  
Research Model ◽  
Environmental Dynamism ◽  
Content Type ◽  
Integrative Research ◽  
The Impact ◽  
The Relationship

Purpose This study aims to shed light on the internal and external antecedents of open innovation (OI) in the context of small- and medium-sized enterprises (SMEs), with a special focus on the role of knowledge management (KM) capability. The paper develops and tests an integrative research model which assesses the effect of internal factors on KM capability; the impact of organizational and external factors, namely, KM capability and environmental dynamism, on OI; and whether environmental dynamism moderates the relationship between KM capability and OI. Design/methodology/approach Drawing on the knowledge-based view and the social exchange and the contingency theories, this paper develops an integrative research model which analyzes several relations between organizational antecedents of KM capability and its effect on OI by using covariance-based structural equation modeling on a data set of Spanish SMEs. Findings Results confirm that information technology-supported operations and commitment-based human resource practices have a positive and significant influence on KM capability. In contrast, results do not find support for the relationship between interdepartmental connectedness and KM capability, whereas both KM capability and environmental dynamism have a direct influence on OI. Originality/value This paper adds to existing research on OI, as it is the first study that addresses the critical role of KM capability for the implementation of OI.

Assessment of knowledge process capabilities toward project management maturity: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adnan Alghail ◽  
Liu Yao ◽  
Mohammed Abbas ◽  
Yahia Baashar
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Public Universities ◽  
Equation Modeling ◽  
Success Factor ◽  
Research Model ◽  
Maturity Level ◽  
Knowledge Process ◽  
Content Type ◽  
The Impact

Purpose The reasons behind the project management failure of higher education institutions (HEIs) have been researched for the past few years. One of the reasons is the lack of tools to integrate their knowledge process capabilities (KPC) with their project management (PM) to measure maturity by assessing these capabilities. Various project management maturity (PMM) models exist. Yet, there is a limited number of empirical studies that support the four integrations of KPC and PMM. Therefore, this study aims to propose a new heretical model, namely, KPC-knowledge management (KM) and evaluates a research model that includes the four KPC as an antecedent to PMM. Design/methodology/approach The suggested research model is assessed by using partial least squares structural equation modeling. Furthermore, the study's hypotheses were examined based on a sample of 352 respondents from the project management departments in 10 public universities in Yemen. Findings Analysis revealed that the derived PMM status could be benchmarked with the project management maturity model. Also, the study found that integrating the KPC into PM enables the institutions to perform critical tasks and value chain activities and enhance the PM maturity level as well. In contrast, if one of the capabilities does not positively impact PMM, it affects the maturity level of the entire project. Research limitations/implications The findings are obtained concerning data collected from public universities and represent the Yemeni context, limiting the generalization on a different geographical area. Also, this proposed model can be evaluated in a practical way like conducting a focus group, a set of interviews with specialists, a case study or action research. The qualitative research will help academics to validate our proposal for future research purposes. Practical implications The proposed approach may be adapted to the characteristics of organizations involved in projects as external performers (project-based organizations) and not just the HEIs projects. This study provides managers and policymakers with insights into assessing PMM and improving their organizational effectiveness when deciding which KPCs to focus on in the future. Social implications This study contributes to the current PM awareness in Yemen and facilitates its success using the knowledge processes capabilities in Yemen's HEIs. It encourages organizations to take this opportunity to revive the projects and achieve a maximum level of maturity. Originality/value This study provides new insights into two domains through the link between knowledge management and PM. To the best of the authors' knowledge, this paper is among the first to empirically study the impact of the four KPC toward PMM. It enriches the theoretical perspective of PM. Also, it contributes to the literature on the success factor of KPC, which can be considered to improve organizational performance.

The use of open government data to citizen empowerment: an empirical validation of a proposed model

foresight ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 665-680 ◽  
Author(s):  
Md Nahin Hossain ◽  
Md Shamim Talukder ◽  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
The Body ◽  
Open Government ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Proposed Model ◽  
Open Government Data ◽  
Citizen Empowerment ◽  
Government Data ◽  
The Impact

Purpose The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment. Design/methodology/approach This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique. Findings Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment. Research limitations/implications This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study. Practical implications For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process. Originality/value This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

An exploratory study of health scientists’ data reuse behaviors

2017 ◽  
Vol 69 (4) ◽  
pp. 389-407 ◽  
Author(s):  
Soohyung Joo ◽  
Sujin Kim ◽  
Youngseek Kim
Keyword(s):  
Organizational Support ◽  
Exploratory Study ◽  
Scientific Data ◽  
Perceived Usefulness ◽  
Data Reuse ◽  
Health Science ◽  
Equation Modeling ◽  
Survey Method ◽  
Research Model ◽  
Content Type

Purpose The purpose of this paper is to examine how health scientists’ attitudinal, social, and resource factors affect their data reuse behaviors. Design/methodology/approach A survey method was utilized to investigate to what extent attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. The health scientists’ data reuse research model was validated by using partial least squares (PLS) based structural equation modeling technique with a total of 161 health scientists in the USA. Findings The analysis results showed that health scientists’ data reuse intentions are driven by attitude toward data reuse, community norm of data reuse, disciplinary research climate, and organizational support factors. This research also found that both perceived usefulness of data reuse and perceived concern involved in data reuse have significant influences on health scientists’ attitude toward data reuse. Research limitations/implications This research evaluated its newly proposed research model based on the theory of planned behavior using a sample from the community of scientists’ scholar database. This research showed an overall picture of how attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. This research is limited due to its sample size and low response rate, so this study is considered as an exploratory study rather than a confirmatory study. Practical implications This research suggested for health science research communities, academic institutions, and libraries that diverse strategies need to be utilized to promote health scientists’ data reuse behaviors. Originality/value This research is one of initial studies in scientific data reuse which provided a holistic map about health scientists’ data sharing behaviors. The findings of this study provide the groundwork for strategies to facilitate data reuse practice in health science areas.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

Information technology capabilities and organizational agility

2019 ◽  
Vol 27 (2) ◽  
pp. 198-216 ◽  
Author(s):  
Juan Cepeda ◽  
José Arias-Pérez
Keyword(s):  
Information Technology ◽  
Open Innovation ◽  
Collaborative Work ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovation Capability ◽  
Organizational Agility ◽  
Content Type ◽  
Organizational Ability ◽  
External Embeddedness

Purpose Currently, it is commonly accepted that information technology capabilities (ITC) positively influence organizational agility. Nevertheless, studies have recently started to demonstrate that different organizational factors mediate this relation under the controvertible assumption that companies are capable of responding quickly to market changes using their IT in combination with other internal resources. Therefore, companies have given very little attention to collaborative work with external partners. The purpose of this study is to analyze the mediating effects of the acquisition and exploitation capabilities of open innovation on the information technology capabilities – organizational agility relationship. Design/methodology/approach Structural equation modeling was used to test the proposed model with survey data from a multinational corporation that operates in South American emerging economies in the pension and savings businesses. Findings This study found that only the open innovation capability of exploitation has a partial mediating effect. This means that this organizational ability serves as a bridge so that IT capabilities can have a positive incidence on organizational agility. Originality/value This paper adopts a more novel study focus that emphasizes the importance of collaborative work and of the use of external resources that are implicit in open innovation capability. On the other hand, this organizational ability implies external embeddedness, which is usually approached mainly from the network theory in the international business literature; however, this study offers a more interesting study focus in which externally oriented organizational abilities such as open innovation are more important for external embeddedness than are the size and quality of the external network.

The mediating role of passenger satisfaction on the relationship between service quality and behavioral intentions of low-cost carriers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hsiu-Fen Lin
Keyword(s):  
Service Quality ◽  
Behavioral Intentions ◽  
Low Cost ◽  
Group Analysis ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Passenger Satisfaction ◽  
Low Cost Carriers ◽  
The Relationship

PurposeBy extending the existing service quality dimensions and reflecting the low-cost carriers (LCCs) context, the purpose ot this study aims to develop the research model to examine whether passenger satisfaction mediates the relationship between service quality and behavioral intentions of LCCs across low- and high-experience passengers.Design/methodology/approachData collected from 320 passengers (180 for low-experience passengers and 140 for high-experience passengers) to test the research model. The partial least square structural equation modeling approach was used to perform the path modeling and multi-group analysis.FindingsThe results confirm that passenger satisfaction mediates the relationship between four service quality constructs (tangible features, service reliability, quality of personnel and online ticketing service) and behavioral intentions (repurchase and recommendation intentions) for both low- and high-experience passengers. However, convenient flight schedule has a significant influence on passenger satisfaction only for low-experience passengers.Practical implicationsThe results of multi-group analysis indicated that passenger satisfaction exerts stronger effect on recommendation intentions for low-experience passengers. LCCs managers' priority should be placed on providing satisfying service experiences to less experienced passengers. Improved passenger satisfaction through superior service quality motivates low-experience passengers to recommend LCCs, thus increasing the positive word-of-mouth promotion.Originality/valueTheoretically, this study is first considering both low- and high-experience LCCs passenger perceptions to examine how passenger satisfaction mediates the relationship between service quality and post-purchase intentions. From the managerial perspective, the findings can provide useful management insights into developing multi-faceted strategies that allow LCCs firms to restore passenger confidence and retain their repurchase intentions.

The effect of information privacy concern on users' social shopping intention

2020 ◽  
Vol 44 (5) ◽  
pp. 1119-1133 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Structural Equation ◽  
Information Privacy ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Research Model ◽  
Privacy Concern ◽  
Social Commerce ◽  
Complete Understanding ◽  
Content Type ◽  
Social Shopping

PurposeThe purpose of this research is to examine the effect of information privacy concern on users' social shopping intention.Design/methodology/approachBased on the 340 valid responses collected from a survey, structural equation modeling (SEM) was employed to examine the research model.FindingsThe results indicated that while disposition to privacy positively affects privacy concern, both reputation and laws negatively affect privacy concern, which in turn decreases social shopping intention. In addition, trust partially mediates the effect of privacy concern on social shopping intention.Research limitations/implicationsThe results imply that social commerce companies need to mitigate users' privacy concern in order to facilitate their shopping behavior.Originality/valueThis research disclosed that privacy concern receives a tripartite influence from users (disposition to privacy), platforms (reputation) and governments (laws). The results help us gain a complete understanding of information privacy concern mitigation in social shopping.

Chief Executive Officer's traits and open innovation in small and medium enterprises: the mediating role of innovation climate

2020 ◽  
Vol 27 (4) ◽  
pp. 607-631 ◽  
Author(s):  
Tharwa Najar ◽  
Karima Dhaouadi
Keyword(s):  
Open Innovation ◽  
Developing Economies ◽  
Chief Executive ◽  
Mediating Effect ◽  
High Tech ◽  
Content Type ◽  
Top Managers ◽  
Innovative Climate ◽  
Innovation Climate

PurposeThis paper aims to study the impact of Chief Executive Officer's (CEO's) personality traits on open innovation (OI) strategies and the mediating effect of innovation climate by mobilizing the upper echelons theory and the OI literature. In fact, CEO's role in OI promotion has been under-investigated in the literature especially in small and medium-sized enterprises (SMEs) and in developing economies.Design/methodology/approachBased on the structural equation modeling, a survey is scheduled by administrating a questionnaire within 178 CEOs in Tunisian high-tech sector. The relevance of the empirical evidences is to disclose human levers to the success of OI strategies in the Tunisian context as a developing country.FindingsThe results show the importance of CEO's entrepreneurial orientation (EO) and attitude in promoting innovation climate and so then OI strategies. The study offers a reading grid for managers of high-tech SMEs to better lead and identify key factors for OI adoption. Innovative climate is found to be a relevant driver of OI encompassing the key role of attitude and EO of top managers.Practical implicationsResults highlight the relevance of the recruitment of appropriate top managers with high levels of EO and with positive attitude toward OI in order to facilitate OI integration and to enhance SMEs' competitiveness. Entrepreneurially oriented CEOs should be required in order to overcome "Not Invented Here" and "Not Shared Here" syndromes, to support innovative climate and to encourage knowledge import and export in the Tunisian SMEs.Originality/valueThis paper sheds light on the micro-foundation of OI by emphasizing the relevance of human factors and namely EO and attitude of CEOs in OI issue. It provides conceptual and empirical clarification of the extent to which CEO's traits affect OI through innovative climate. This would value initiatives exploring key individual's characteristics influence on OI strategies within SMEs.

Estimating green purchase behavior: an empirical study using integrated behavior model in Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Zillur Rahman Siddique ◽  
Goutam Saha ◽  
Aminur Rahman Kasem
Keyword(s):  
Perceived Control ◽  
Purchase Intention ◽  
Structural Equation ◽  
Purchase Behavior ◽  
Equation Modeling ◽  
Behavior Model ◽  
Research Model ◽  
Content Type ◽  
Green Behavior ◽  
Practical Implications

Purpose This paper aims to examine the exogenous effects of experiential attitude toward green (EAG), instrumental attitude toward green (IAG), injunctive norms on green (ING), descriptive norms about green (DNG), green perceived control (GPC) and green self-efficacy (GSE) on green purchase intention (GPI). Moreover, this paper also investigates the causal factors of green purchase behavior (GPB) considering green knowledge (GK), the salience of green behavior (SGB), environmental constraints (ECPG) and green habit (GH). Design/methodology/approach The research model was adopted to measure the green behavior of Bangladeshi consumers using an integrated behavior model (IBM). The data were randomly collected from 372 respondents and partial least squares structural equation modeling (PLS-SEM) approach was used to test the hypotheses. Findings PLS results imply that all independent variables (EAG; IAG; ING; DNG; GPC and GSE) impact GPI; and SGB, GH and GPI influence GPB. On the other hand, GK and ECPG have no significant effect on GPB. Research limitations/implications There may present a gap in the outcomes of the study to signify the generalizability because the survey was conducted in some cities of Bangladesh which may not represent the country as a whole. Practical implications This study anticipates the cause-effect relationship between GPI, GPB and their determinants. The results of the study can help marketers understand green consumer behavior and design appropriate strategies and tactics for new marketing challenges. Originality/value This research investigates green purchase behavior in a developing country. It empirically confirms the validity of IBM in assessing green behavior, especially for Bangladesh, a booming economy and suitable for investment. Although ample research explored green purchase behavior, green habit and saliency have not been considered in measuring green purchase behavior.

Sign in / Sign up

Export Citation Format

Share Document