How supplier knowledge impacts on organizational capabilities and willingness

2018 ◽  
Vol 48 (1) ◽  
pp. 140-158
Author(s):  
Peyman Akhavan ◽  
Ali Shahabipour ◽  
Reza Hosnavi
Keyword(s):  
Partial Least Square ◽  
Least Square ◽  
Organizational Capabilities ◽  
Matrix Analysis ◽  
Knowledge Flow ◽  
Primary Data ◽  
Development Programs ◽  
Content Type ◽  
Performance Matrix ◽  
Structured Questionnaire

Purpose The purpose of this paper is to conduct a survey on the knowledge for supplier correlation with their capabilities and willingness as segmentation criteria. There are many contexts for sharing knowledge. What are more beneficial contexts? Design/methodology/approach After developing the research hypothesis, a structured questionnaire was adopted to gather primary data from suppliers. The draft questionnaire was sent to five academic and industry experts to comment on the content. Received feedback was used to change the layout of the questionnaire. Instead of the traditional partial least squares, the state-of- art consistent partial least square technique was put into practice. Findings By definition, knowledge for supplier has a large impact on supplier capabilities. The Important-Performance Matrix Analysis (IPMA) prioritizes the indicators and suggests to focus on knowledge sharing about manufacturing processes, development expertise and marketing expertise. Results showed that supplier willingness for sharing confidential knowledge and longtime relationship depends on development programs. Practical implications Having a communication mechanism for each of the partnerships’ specific contexts was suggested to maximize the knowledge flow. Originality/value For maximizing the knowledge flow and studying the effect on the segmentation criteria such as capability and willingness, the main contribution of the paper is to survey the supplier knowledge in depth. The IPMA was implemented to highlight the indicators.

Role of leadership, strategic planning and entrepreneurial organizational culture towards achieving organizational excellence: evidence from public sector using SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hassan Al-Dhaafri ◽  
Mohammed Saleh Alosani
Keyword(s):  
Organizational Culture ◽  
Strategic Planning ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Content Type ◽  
Organizational Excellence ◽  
Practical Implications

Purpose The purpose of this study is to study the collective effect of leadership, strategic planning and entrepreneurial organizational culture (EOC) on organizational excellence. Design/methodology/approach Using primary data obtained through a survey questionnaire, hypotheses have been developed for testing. Out of a total of 565 questionnaires, only 355 questionnaires were returned where data were collected from the Dubai police organization. The structural equation modelling (SEM) approach was used to analyse the collected data. Findings Statistical findings using SEM-partial least square confirmed the full mediating role of strategic planning as a mechanism between leadership and organizational excellence. In addition, the results reported a significant effect of leadership on strategic planning besides its impact on organizational excellence. Practical implications Results reported many valuable implications. The outcomes of this study have practical implications that will help managers, decision-makers and practitioners to consider the study’s variables to enhance the overall performance through achieving excellence. Originality/value The collective role of leadership, strategic planning, EOC and organizational excellence is studied as one of the most important empirical studies which bring original contribution to the existing body of knowledge.

A new insight into alumni satisfaction model for Islamic higher education institutions (IHEI)

2018 ◽  
Vol 41 (12) ◽  
pp. 1411-1437 ◽  
Author(s):  
Abdur Rafik ◽  
Anjar Priyono
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Structural Equation ◽  
Higher Education Institutions ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Matrix Analysis ◽  
Content Type ◽  
Satisfaction Model

Purpose The purpose of this study is to explore and decompose a satisfaction model using alumni’s perspective for Islamic-based higher education institutions (IHEI) with the antecedent of perceived quality and value and the consequence of loyalty. Design/methodology/approach A study was used, using 44-item, a ten-point Likert-scale questionnaire administered to 360 alumni from various classes started from the 1970s till 2000s. Theoretical-based, national qualification framework of Indonesian higher education and management-based considerations were involved in developing a survey. Data were analyzed using partial least square-structural equation model and decomposed into strategic management map using importance-performance matrix analysis. Findings The most important determinants of alumni satisfaction and loyalty in IHEI is the IHEI’s ability to develop career capability through enriching knowledge. Moreover, the presence of good environment and Islamic value embodiment supporting learning programs on campus is the most significant trigger for the knowledge development. Research limitations/implications The results were generated from a specific department. Additional studies are needed to test if the results are not department (institution)-specific. Practical implications This study provides strategic directions for management to improve the critical aspects of the system by providing the inputs to the extent to which the service quality delivered may contribute to end-customers’ satisfaction. Originality/value It contributes to the literature on satisfaction and service quality issues by incorporating ideological aspect, by investigating the feasible model of customer satisfaction in the perspective of alumni for IHEI.

scholarly journals Value management implementation barriers for sustainable building: a bibliometric analysis and partial least square structural equation modeling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Farouk Kineber ◽  
Idris Othman ◽  
Ayodeji Emmanuel Oke ◽  
Nicholas Chileshe ◽  
Tarek Zayed
Keyword(s):  
Bibliometric Analysis ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Value Management ◽  
Implementation Barriers ◽  
Content Type

Purpose The purpose of this paper is to examine the relationship between overcoming the value management (VM) implementation barriers and VM implementation in the Egyptian building sector. Design/methodology/approach A critical review of the literature on VM was used to through bibliometric analysis has been conducted to highlight the studies’ gap and establish the VM barriers. These obstacles were then contextually transformed via a semi-structured interview and a pilot study, and subsequently organized in the form of a theoretical model. The primary data was collected from 335 building stakeholders in Egypt through the administration of questionnaire surveys. Consequently, structural equation models of partial least squares were applied to statistically assess the final model of VM barriers. Findings The bibliometric analysis shows that there is an inadequate study on VM implementation barriers in the Egyptian construction industry and insufficient studies on implementing VM in developing countries. Results obtained from the proposed model showed that overcoming the VM barriers has a major connection with successful VM implementation. This is indicated with the value of ß = 0.743, which is necessary when the firm is overcoming 1 unit of VM barriers. Originality/value This study fills the knowledge gap by identifying and emphasizing the critical obstacles to VM implementation.

The role of consumer happiness in brand loyalty: a model of the satisfaction and brand image in fashion

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Cuesta-Valiño ◽  
Pablo Gutiérrez-Rodríguez ◽  
Estela Núnez-Barriopedro
Keyword(s):  
Consumer Satisfaction ◽  
Brand Image ◽  
Least Square Method ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Content Type ◽  
Partial Least Square Method

Purpose The study of the antecedents to loyalty is of great interest to both academics and professionals in the context of fashion consumption. The purpose of this paper is to define a SEM model, in which brand image and its dimensions, as well as consumer satisfaction and consumer happiness as mediators, are explained as antecedents to loyalty. Design/methodology/approach A transversal descriptive study based on primary data were, therefore, carried out using a survey with a sample of 2,515 consumers representing the Spanish population. The Partial Least Square method was applied to test the hypotheses. Findings The results of this research tell us which variables have a positive influence on consumer loyalty to fashion brands, where brand image, satisfaction and consumer happiness are the determining variables of loyalty. Research limitations/implications This model has important implications and contributes both to the literature and to the choice of differentiation and brand positioning strategies for marketing to a global and highly competitive market. Originality/value One of the novelties of this study is the fact that it considers the consumer happiness variable as an antecedent to loyalty in the fashion consumer sector.

Acceptance of mobile money by poor citizens of India: integrating trust into the technology acceptance model

Info ◽  
2015 ◽  
Vol 17 (3) ◽  
pp. 58-68 ◽  
Author(s):  
Sumedha Chauhan
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Content Type ◽  
Mobile Money ◽  
Acceptance Model

Purpose – The purpose of this paper is to understand the acceptance of mobile-money (m-money) among target populations, i.e. below-poverty-line citizens in India, using the technology acceptance model (TAM). The m-money service is a major initiative that can enable the provision of low-cost and speedy money transfer through mobile phones, especially in developing countries such as India. For a large section of the population in India, m-money can act as a way to achieve financial inclusion. However, for m-money to succeed, users should accept the initiative wholeheartedly. Design/methodology/approach – The survey data were collected from 225 actual and prospective m-money users and analysed using partial least square technique. Findings – The findings imply that the trust and the core constructs of TAM such as perceived usefulness, trust and attitude towards usage contribute in influencing the intention to accept m-money. Perceived ease of use neither impacts perceived usefulness nor attitude towards usage. Practical implications – This research also provides possible explanations for the significant relationships between the constructs and discusses how this information can be used to enhance the acceptance of m-money among poor Indians. Originality/value – This research is original and is based on primary data collection and its interpretation. It provides thorough empirical insights on the acceptance of m-money among poor Indian citizens which is currently a weakly addressed and empirically less explored area of research.

scholarly journals Digitalization Adoption among Malaysian SMEs: The Drivers and its’ Industry Based Heterogeneity

2021 ◽  
Vol 7 (1) ◽  
pp. 10-13
Author(s):  
Mei Peng Low ◽  
Hengky Latan ◽  
Charbel J Chiappetta Jabbour
Keyword(s):  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Group Analysis ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Matrix Analysis ◽  
Equation Modeling ◽  
Performance Matrix ◽  
Medium Enterprises

Digital technologies advancement has immersed in many aspects of our lives, be it an individual or a business. The fast moving technologies has fostered the growth of digital economy. Businesses which fail to adopt will eventually lose their competitive advantage. The pressing phenomena motivates the study of digitalization adoption among small and medium enterprises (SMEs), which account for the majority of the businesses worldwide. Technology-Organization-Environment (TOE) framework was utilized to guide this study. The plausible difference between service based and non-service based industries was also examined. Quantitative approach via purposive sampling was performed to collect data from the SMEs. The data was analyzed using the concept of Hierarchical Component Model (HCM) for TOE constructs and Multi-Group Analysis (MGA) under the purview of Partial Least Square Structural Equation Modeling (PLS-SEM). For more insightful findings, Importance Performance Matrix Analysis (IPMA) was conducted. The findings informed that Technology and Organization record significant positive influence on Digitalization Adoption among SMEs while there is heterogeneity between service based and non-service based industries.

Development and validation of multi-factor employee engagement measuring instrument: a formative measurement model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Puneet Kumar ◽  
Nayantara Padhi
Keyword(s):  
Employee Engagement ◽  
Convergent Validity ◽  
Structural Equation ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Organizational Setting ◽  
Content Type

PurposeThe purpose of this study is to bring about an exhaustive measurement instrument of employee engagement and validate the same in Indian settings.Design/methodology/approachThis descriptive and cross-sectional study initiates with reviewing the available literature in the field of employee engagement to identify factors affecting and the corresponding items defining them. Following the discussion with experts and industry professionals, an instrument was, thus, obtained to administer the primary data from employees working in public and private power companies in India. The study used Partial Least Square-Structural Equation Modeling (PLS-SEM) 3 to demonstrate employee engagement as a first-order reflective and second-order formative construct. Thereafter, reliability and convergent validity were assessed to validate the instrument.FindingsThis paper conceptualized employee engagement as a multi-factor construct (nine in numbers). The factors are “Respect”, “Supervisor's support and recognition”, “Growth and development”, “Creative and challenging job”, “Job significance”, “Perceived self-worth”, “performance evaluation and recognition” and “Organizational bureaucracy”. These factors are exhaustive and collectively define employee engagement. Distortion or omission in any of these items may distort the nature of construct as well.Originality/valuePrevious studies have defined the concept of employee engagement as unidimensional and thus observe serious lacunas. This study identified employee engagement as a multi-factor construct that incorporates the exhaustive nature of the organizational setting. Not only this study adds value to the existing body of knowledge in the field of employee engagement but also specify the measurement model as a formative one concerning employee engagement.

Halal standard implementation in food manufacturing SMEs: its drivers and impact on performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ida Giyanti ◽  
Anita Indrasari ◽  
Wahyudi Sutopo ◽  
Eko Liquiddanu
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Operational Performance ◽  
Primary Data ◽  
Internal Motivation ◽  
Food Manufacturing ◽  
Content Type ◽  
External Pressures

Purpose The purpose of this paper is to investigate the drivers of the depth of halal standard implementation in the halal-certified food manufacturing small- and medium-sized enterprises (SMEs). The second aim of this paper is to empirically examine the effect of halal standard practices on the SME’s performance. Design/methodology/approach Of the 143 halal-certified SMEs in Solo Raya, Province of Central Java, Indonesia, 83 were willing to take part in the present research. The survey was carried out by an on-site visit to the targeted respondents. A structured questionnaire was used to gather primary data. Partial least square structural equation model was then used to analyze the collected data. Findings The results proved that internal motivation and organization commitment positively affect halal standard implementation, while external pressures do not. The external pressures influence the depth of halal standard implementation through internal motivation as a mediating variable. Furthermore, the depth of halal standard implementation leads to the improvement of operational performance. The improvement of operational performance can further encourage the increase of market performance and financial performance. Research limitations/implications The first limitation of this research is about the samples in which they are small-sized and restricted to food manufacturing SMEs. Another limitation is the subjectivity of SME’s managers when evaluating performance, which may provide imprecise measures of performance. Practical implications The findings suggest the notion that success of halal standard implementation depends on the capabilities of SMEs to convert the external pressures into internal motivation. Moreover, food-manufacturing SMEs should consider halal standard as an innovative tool to be applied in their daily operation and production as the halal standard has a significant role in influencing SME’s performance. Originality/value To the best of the authors’ knowledge, this research is the first attempt in integrating drivers, halal standard implementation and performance in the specific context of food manufacturing SMEs in Indonesia.

scholarly journals The Importance-Performance Matrix Analysis in Partial Least Square Structural Equation Modeling (PLS-SEM) with Smartpls 2.0 M3

2014 ◽  
Vol 3 (1) ◽  
pp. 1-14
Author(s):  
Sabri Ahmad ◽  
Wan Mohamad Asyraf Bin Wan Afthanorhan
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Matrix Analysis ◽  
Equation Modeling ◽  
Analytical Technique ◽  
Performance Matrix ◽  
And Performance

The Important-Performance Matrix Analysis (IPMA) is widely used in analytical technique that yields prescription for the management of customer satisfaction. IPA is a two-dimensional grid based on importance and performance of customer satisfaction. Yet, this paper intend to use the volunteers as a research subject to identify to what extent the strength of the relationship between exogenous and endogenous variable that can be derived. As pedagogical theoretical and past empirical studies, attribute level of performance and importance is relevance and significant. These finding reveals the capabilities of IPA towards a volunteerism program. Using Partial Least Square Structural Equation Modeling with SmartPLS 2.0, the asymmetric relationship importance and performance is provided. Futhermore, it shown that benefits factor is a major importance and performance for establishing Motivation.

scholarly journals Key Locational Characteristics that Influence on Attracting Tourists to Sri Lanka

2019 ◽  
pp. 1-10
Author(s):  
O. K. R. De Silva ◽  
M. P. S. R. Perera ◽  
G. D. D. T. Karunarathne
Keyword(s):  
Sri Lanka ◽  
Strong Relationship ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Path Coefficient ◽  
Sri Lankan ◽  
Tourist Attraction ◽  
The Impact ◽  
Structured Questionnaire

This research was conducted to assess the existing locational characteristics of Sri Lanka which could influence on attracting tourists to the country. The major problem of the study is identifying the critical locational characteristics that cause to attract more tourists to Sri Lanka. It has been observed that there are three major locational characteristics such as Natural attractiveness, Cultural attractiveness and Climate which have discussed by the scholars and applicable to the Sri Lankan context. The main objective of the study is to identify the most important characteristics which help to attract tourists to Sri Lanka. The secondary objectives are determining the impact of the influence of the characteristics on tourist attraction & exploring the influence of the characteristics for future tourist attraction. The research coverage areas are Colombo District and Hikkaduwa Narigama area. Data were collected through a structured questionnaire. The findings are based on the primary data collection and, they have been analyzed with Statistical Package for Social Sciences (SPSS) 16.0 and the SmartPLS (Partial Least Square) 3.0. There were 62 sample size and whole sample responded for the questionnaire. Findings of the study exposed all three characteristics are important for tourist attraction. According to the result of Path Coefficient, all the three variables are statistically significant and natural attractiveness (0.454), cultural attractiveness (0.247) and climate (0.213) are a significant moderately strong relationship with tourist attraction. Therefore, all three variables positively impact to the tourist attraction and natural attractiveness is the major among them. It is also found that there are specific things to be taken into account for the accomplishment of attracting the expected group of tourists to the country.

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