Public service performance from the perspective of marketing and innovation capabilities
TL;DR: In this article, the authors analyse the relationship between marketing capabilities and sources of innovation in public service performance, and propose and test a structural equations model in 259 public service organizations in the US.
Abstract: This research aims to analyse the relationship between marketing capabilities and sources of innovation in public service performance. It proposes and tests a structural equations model in 259 publ...
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TL;DR: In this paper, the authors investigated the relationship between market orientation and stakeholder orientation in sustainable corporate performance, with a focus on environmental, social and governance (ESG) results, and found that SO not only enhances strategic positioning and activities linked to market intelligence, but also serves as a determining factor of superior performance.
Abstract: This paper aims to investigate the relationship between market orientation (MO) and stakeholder orientation (SO) in sustainable corporate performance, with a focus on environmental, social and governance (ESG) results.,This research is operationalized by way of a structural equation model (SEM) involving 208 energy companies and covering a worldwide context. Primary data relating to MO and SO were collected by survey questionnaire, while secondary data on sustainable performance were collected from the Global Reporting Initiative (GRI) sustainability report.,The results reveal that SO not only enhances strategic positioning and activities linked to market intelligence, but also serves as a determining factor of superior performance. The findings provide new insights into how MO is connected with sustainable corporate performance.,The impact of this study leads to improvements in planning marketing and in market intelligence process, which are essential activities of managers and marketing planners. There are also implications for other organizational processes. The authors point out the relevance including multi-stakeholders, whose impact is perceived in the organization's results, and improving relations with them.,The authors' first contribution is empirically examining organizational competence with regard to the MO and marketing intelligence that have the greatest impact on sustainable performance. Second, the authors operationalized the SO construct, which until then had been treated in isolation in the literature.
2 citations
31 Jan 2023
TL;DR: In this article , the authors describe the implementation model of bureaucratic reform that has been carried out, both in Indonesia and several other countries, and provide a comprehensive understanding of the importance of reform.
Abstract: This study aims to describe the implementation model of bureaucratic reform that has been carried out, both in Indonesia and several other countries. Provide a comprehensive understanding of the importance of bureaucratic reform. The research method used is the library research method from various sources related to bureaucratic reform. The results of this literature review illustrate that the bureaucratic reforms that have been carried out in several countries are generally related to two dimensions, namely the organizational dimension and the dimension of apparatus human resources. In the context of carrying out the implementation of bureaucratic reform at Provincial Bawaslu and Regency/City Bawaslu, what needs to be done immediately is the making and stipulation of a Bureaucratic Reform Team Decision Letter, making and stipulating a Role Model Decree and Bureaucratic Reform Change Agent covering 8 areas of change, preparing an implementation action plan bureaucratic reform, filling out bureaucratic reform evaluation worksheets, monitoring and evaluating the implementation of bureaucratic reform every month.
TL;DR: In this article , the authors present influencing factors based on a hierarchical concept framework for revitalizing care farm ecosystem based on public service innovation, and a survey was conducted on 28 stakeholders in care farming to derive the importance of each variable.
Abstract: Recently, the importance of care farming has been emphasized worldwide for the purpose of public health and healing, and, in particular, discussions on innovative transformation and expansion of the care farm ecosystem have continued in terms of convergence of agriculture and welfare. This study aims to present influencing factors based on a hierarchical concept framework for revitalizing care farm ecosystem based on public service innovation. To this end, the AHP methodology was used. Through previous studies, 16 variables were derived within four categories: recognition, structure, leadership, process, and recognition of variables that affect the activation of the care farm ecosystem and conceptualized them through Delphi techniques. In addition, a survey was conducted on 28 stakeholders in care farming to derive the importance of each variable. As a result of the analysis, ‘reliability’ was derived as the most important factor, followed by factors such as human competence, vision, civic participation, and innovation awareness. Hence, it was confirmed that trust and communication between stakeholders are important to lead the innovative public service ecosystem of care farm, and above all, human competence is an important influencing factor.
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TL;DR: In this paper, the authors argue that the ability of a firm to recognize the value of new, external information, assimilate it, and apply it to commercial ends is critical to its innovative capabilities.
Abstract: In this paper, we argue that the ability of a firm to recognize the value of new, external information, assimilate it, and apply it to commercial ends is critical to its innovative capabilities. We label this capability a firm's absorptive capacity and suggest that it is largely a function of the firm's level of prior related knowledge. The discussion focuses first on the cognitive basis for an individual's absorptive capacity including, in particular, prior related knowledge and diversity of background. We then characterize the factors that influence absorptive capacity at the organizational level, how an organization's absorptive capacity differs from that of its individual members, and the role of diversity of expertise within an organization. We argue that the development of absorptive capacity, and, in turn, innovative performance are history- or path-dependent and argue how lack of investment in an area of expertise early on may foreclose the future development of a technical capability in that area. We formulate a model of firm investment in research and development (R&D), in which R&D contributes to a firm's absorptive capacity, and test predictions relating a firm's investment in R&D to the knowledge underlying technical change within an industry. Discussion focuses on the implications of absorptive capacity for the analysis of other related innovative activities, including basic research, the adoption and diffusion of innovations, and decisions to participate in cooperative R&D ventures. **
31,623 citations
"Public service performance from the..." refers background in this paper
...The sources of innovation results legitimize the theory by separating two large groups: the use of internal sources and the exploitation of external sources (Cohen and Levinthal 1990; Morgan et al. 2003; Frenz and Ietto-Gillies 2009)....
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...Studies on sources of innovation are characterized by a division between the financing approach and the information and knowledge perspective (Cohen and Levinthal 1990)....
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...In view of the studies on sources of innovation and performance (Cohen and Levinthal 1990; Mol and Birkinshaw 2009; Yam et al. 2011; Zaefarian et al. 2017; Chen, Walker, and Sawhney 2019; Gieske et al. 2019), it is suggested that:...
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Book•
21 Jul 2011
TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Abstract: Psychology is a science that advances by leaps and bounds The impulse of new mathematical models along with the incorporation of computers to research has drawn a new reality with many methodological progresses that only a few people could imagine not too long ago Such progress has no doubt revolutionized the panorama of research in the behavioral sciences Structural Equation Models are a clear example of this Under this label are usually included a series of state-of-the-art multivariate statistical procedures that allow the researcher to test theoryguided hypotheses with clearly confi rmatory ends as well as to establish causal relations among variables Confi rmatory factor analysis, the study of measurement invariance, or the multitraitmultimethod models are some of the procedures that stem from this methodology In this sense, it would be diffi cult to fi nd a scientifi c journal that publishes empirical works in psychology that does not address some of these issues, so their current transcendence is undeniable The manual written by the Full Professor of the University of Ottawa, Barbara M Byrne, is a link in a series of books that address this topic Throughout her long academic trajectory, Professor Byrne developed interesting and popular work focused on bringing the researcher and the professional layman—and not so layman—closer to the diverse statistical programs available on the market for data analysis from the perspective of structural equation models (ie, LISREL, AMOS, EQS) (Byrne, 1998, 2001, 2006) Bearing this in mind, the main goal of this work is to introduce the reader to the basic concepts of this methodology, in a simple and entertaining way, avoiding mathematical technicisms and statistical jargon For this purpose, we used the statistical program Mplus 60 (Muthen & Muthen, 2007-2010), an extremely suggestive software that incorporates interesting applications The authoress provides a practical guide that leads the reader through illustrative examples of how to proceed step by step with the Mplus, from the initial specifi cations of the model to the interpretation of the output fi les On the one hand, we underline that the data used proceed from prior investigations and can be consulted in the Internet, offering the reader the possibility of practicing with them (http://wwwpsypresscom/sem-with-mplus/ datasets/); on the other hand, updating the information with novel and apt bibliographic references allows the reader to study in more depth the diverse topics that are presented in the manual, if he or she so desires The book consists of four sections, with a total of 12 chapters The fi rst section, Chapters 1 and 2, addresses introductory terms related to structural equation models and working with the Mplus program at a user-level The second unit focuses on data analysis with a single group In Chapter 3, the factor validity of the self-concept is tested by means of confi rmatory factor analysis In Chapter 4, the authoress performs a fi rst-order confi rmatory factor analysis, in which she examines the validity of the scores of the Maslach Burnout Inventory (MBI) in a sample of teachers In Chapter 5, the internal structure of the scores on the Beck Depression Inventory-II is analyzed by means of second-order confi rmatory factor analysis in a sample of Chinese adolescents In the next chapter, the complete model of structural equations is tested, and the authoress examines the causal relation established between diverse variables (ie, work climate, self-esteem, social support) and Burnout The third section of the manual is, in my opinion, the most interesting, not only because of the expansion of the study of measurement invariance in recent years but also because of the expansion it may possibly have in the future In this section, Professor Byrne goes into multigroup comparisons Specifi cally, in Chapter 7, she examines the factor equivalence of the MBI in two samples of teachers by means of the analysis of covariance structures In this chapter, she introduces relevant concepts, such as types of invariance (confi gural, metric, and strict) or the invariance of partial measurement In Chapter 8, she also analyzes measurement invariance, using for this purpose the analysis of mean and covariance structures This analysis, in comparison to the analysis of covariance structures, allows contrasting the latent means of two or more groups With this goal, she verifi es whether there is measurement invariance between the scores on the Self-description Questionnaire-I in Nigerian and Australian adolescents In Chapter 9, she proposes a complete model of structural equations in which she tests the causal structure through the procedure of cross validation Lastly, in the fourth section, she reveals three very interesting topics, that are also up-to-date and that, to some degree, go beyond the initial goal of the book, such as the multitrait-multimethod models, latent growth curves, and multilevel models Summing up, the work “Structural Equation Modeling with Mplus: Basic concepts, applications, and programming” is of enormous interest and utility for all professionals of psychology and related sciences who, without having exhaustive knowledge of the details of structural equation models, wish to test their hypothetical models by means of the Mplus program No doubt, this is a reference manual, a must-read that is accessible and that has a high degree of methodological rigor We hope that the readers
16,616 citations
"Public service performance from the..." refers background in this paper
...The structural equation modelling initially occurred using a covariance-based technique (LISREL Software), due to the basic theory test, with the possibility of analysing the global adjustment indicators (Hair et al. 2009)....
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...As an adequate proposition for partial squares, the Q2 test through blindfolding provides the relevance of the predictions of the model, in which values above zero indicate variables with relevant predictive force (Vinzi et al. 2010; Hair et al. 2014)....
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...However, the indexes should be analysed as a whole in a coherent analysis of the data in relation to the proposed theory (Hair et al. 2009; Byrne 2013)....
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...…N > 200 – Byrne (2013) 162,45 SRMR lower than other models – Hair et al. (2009)< 0,050 – Byrne (2013) 0,056 Model AIC The model’s AIC must be lower thanthe independent and the saturated – Byrne (2013) 633,14 Independence AIC 12,620,86 Saturated AIC 650,00 Model CAIC The model’s AIC must be…...
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...…Hair et al. (2009)* 0,060 NFI > 0,90 – Hair et al. (2009) 0,96 CFI > 0,90 – Hair et al. (2009) 0,98 RFI ≥ 0,95 – Byrne (2013) 0,95 IFI ≥ 0,95 – Byrne (2013) 0,98 Critical N > 200 – Byrne (2013) 162,45 SRMR lower than other models – Hair et al. (2009)< 0,050 – Byrne (2013) 0,056 Model AIC The…...
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Book•
01 Jan 1991
TL;DR: In this paper, the authors discuss the role of measurement in the social sciences and propose guidelines for scale development in the context of scale-based measurement. But, the authors do not discuss the relationship between scale scores and scale length.
Abstract: Chapter 1: Overview General Perspectives on Measurement Historical Origins of Measurement in Social Science Later Developments in Measurement The Role of Measurement in the Social Sciences Summary and Preview Chapter 2: Understanding the "Latent Variable" Constructs Versus Measures Latent Variable as the Presumed Cause of Item Values Path Diagrams Further Elaboration of the Measurement Model Parallel "Tests" Alternative Models Exercises Chapter 3: Reliability Continuous Versus Dichotomous Items Internal Consistency Relability Based on Correlations Between Scale Scores Generalizability Theory Summary and Exercises Chapter 4: Validity Content Validity Criterion-related Validity Construct Validity What About Face Validity? Exercises Chapter 5: Guidelines in Scale Development Step 1: Determine Clearly What it Is You Want to Measure Step 2: Generate an Item Pool Step 3: Determine the Format for Measurement Step 4: Have Initial Item Pool Reviewed by Experts Step 5: Consider Inclusion of Validation Items Step 6: Administer Items to a Development Sample Step 7: Evaluate the Items Step 8: Optimize Scale Length Exercises Chapter 6: Factor Analysis Overview of Factor Analysis Conceptual Description of Factor Analysis Interpreting Factors Principal Components vs Common Factors Confirmatory Factor Analysis Using Factor Analysis in Scale Development Sample Size Conclusion Chapter 7: An Overview of Item Response Theory Item Difficulty Item Discrimination False Positives Item Characteristic Curves Complexities of IRT When to Use IRT Conclusions Chapter 8: Measurement in the Broader Research Context Before the Scale Development After the Scale Administration Final Thoughts References Index About the Author
11,710 citations
TL;DR: In this article, practical problems that are frequently encountered in applications of covariance structure analysis are discussed and solutions are suggested, along with conceptual, statistical, and practical requirements fo...
Abstract: Practical problems that are frequently encountered in applications of covariance structure analysis are discussed and solutions are suggested. Conceptual, statistical, and practical requirements fo...
4,841 citations
"Public service performance from the..." refers methods in this paper
...According to Bentler and Chou (1987), the sample size in confirmatory factor analyses can vary between 5 and 10 observations per variable of the model....
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TL;DR: In this paper, a review of the operationalization of performance highlights the limited effectiveness of commonly accepted measurement practices in tapping this multidimensional conceptualization, and a call for research that examines triangulation using multiple measures, longitudinal data and alternative methodological formulations as methods of appropriately aligning research contexts with the measurement of organizational performance.
1,830 citations
"Public service performance from the..." refers background in this paper
...Instead, as suggested by Richard et al. (2009), the aim is to provide theoretical coherence in the classification of the proposed dimensions and relationships....
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