Mustafa Degerli - 2012 - SEPG EUROPE 2012 - Poster - Factors Influencing the Acceptance of...
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ABSTRACT • We used descriptive statistics and t-tests to discover some interesting, meaningful, and important points to be taken into account regarding the acceptance of processes. 23 interesting, meaningful, and important points were elicited. • We analyzed collected quantitative data, and discovered three additional factors regarding the acceptance of processes. Management Commitment and Sponsorship, Measurement, and Role in Performance Evaluation are the supplementary three major factors to be taken into account to promote and/or ensure the acceptance of processes. • We developed a 45-item checklist to test and/or promote the acceptance of processes. For futher details, please use the given info to contact. • Acceptance: Demonstrable willingness of users to employ a system (e.g. process system) for tasks that it is intended to support. • Audit: Careful check or review of something, or objective examination of work product(s) or process(es) pertaining to a specific set of criteria. • Behavioral Intention: Degree to which an individual has formulated conscious plans to perform or not perform an identified behavior (e.g. acceptance of processes). • Facilitating Conditions: Organizational and/or technical infrastructure available so as to support the use of the nominated system (e.g. process system). • Granularity: Detail level of a process. It is assumed good granularity means not too much or too less information or details contained in defined processes. To be exact, there should be just required and enough information and steps in processes, nothing more or less for a good granularity process. • Job Relevance: Applicability of a target system (e.g. processes) to a job. That is, relevance and applicability are required. • Medium: Implies three main pre-defined things: language of process documentations, media of the process system as online or hard-copy, and elements contained in process definitions as texts, and/or visuals, etc. • Modeling: Implies a process modeling, which is an abstract depiction of a process architecture, design, or definition. • Objective Usability: Assessment of systems (e.g. processes) based on the actual level of effort necessary on a way to complete a specific task, instead of one that is perceived. • Operation & Maintenance: Efforts and/or resources devoted for operations and maintenance of processes. With good operation & maintenance practices, it is assumed that there are actively and proactively definition, deployment, and maintenance of processes by devoted and proficient bodies or systems. • Organizational Culture: Set of collective mental conventions guiding interpretation and action in organizations by way of defining proper behavior meant for various situations or contexts (e.g. processes content and context). • Outputs & Results: Degree to which a person rely on that the results of using a system (process system) are concrete, noticeable, and communicable, and the degree to which a person have confidence in that a system (e.g. process system) performs his or her job tasks well and in an expected manner. • Participation in Development: Participation or share of management people, practitioners, or doers in development of processes, before deployment or during definition to ensure its applicability and appropriateness. Additionally, importance of qualified personnel in development and commitments of people before deployment are stressed. • Perceived Ease of Use: Degree to which an individual believes that use of something (e.g. processes) is to be free of effort. • Perceived Usefulness: Degree to which an individual believes that using a system (e.g. process system) will help him or her to attain gains in job performance. • Stability: Condition in which processes are updated not too frequently or disturbingly. It is implied that processes should be generally stable, and changes and improvements should be incorporated as planned and required. • Subjective Norm: Degree to which an individual recognizes that most people who are significant to her/him think she/he should or should not use the system (e.g. processes). • Tailoring: Act of making, altering, or adapting processes for specific aims. Specifically, for processes, tailoring should be there to provide that processes are properly suited regarding lifecycle and other realities of projects. • Training: Options for formal and informal learning, including classroom training, informal mentoring, web- based training, guided self-study, or formalized on-the-job programs. Via this factor, requirement of trainings regarding processes, process purposes, and process systems, structures and interactions is remarked. DEFINITIONS OF ACCEPTANCE AND RELATED FACTORS FOR PROCESSES THE PROCESS ACCEPTANCE MODEL (PAM) Mustafa DEGERLI ([email protected]) & Sevgi OZKAN ([email protected]) Department of Information Systems, Graduate School of Informatics at the Middle East Technical University, TR Factors Influencing the Acceptance of Processes: The Process Acceptance Model (PAM) CONCLUSIONS As results of quantitative data analysis and interpretations, there are 18 factors determined for the content and context of acceptance of processes. These are Perceived Usefulness, Perceived Ease of Use, Behavioral Intention, Facilitating Conditions, Subjective Norm, Outputs & Results, Job Relevance, Objective Usability, Organizational Culture, Audit, Tailoring, Operations and Maintenance, Stability, Granularity, Participation in Development, Training, Medium, and Modeling. These factors were further analyzed and interpreted quantitatively, and the process acceptance model (PAM) was developed with below listed relations of the identified factors. In the content and context for the acceptance of processes: • Audit positively influences Perceived Ease of Use, • Audit positively influences Perceived Usefulness, • Facilitating Conditions positively influences Behavioral Intention, • Facilitating Conditions positively influences Perceived Usefulness, • Granularity positively influences Stability, • Job Relevance positively influences Outputs & Results, • Modeling positively influences Behavioral Intention, • Medium positively influences Behavioral Intention, • Medium positively influences Perceived Ease of Use, • Organizational Culture positively influences Subjective Norm, • Operation and Maintenance positively influences Perceived Ease of Use, • Outputs & Results positively influences Perceived Ease of Use, • Outputs & Results positively influences Perceived Usefulness, • Objective Usability positively influences Perceived Ease of Use, • Participation in Development positively influences Behavioral Intention, • Perceived Ease of Use positively influences the Behavioral Intention, • Perceived Ease of Use positively influences the Perceived Usefulness, • Perceived Usefulness positively influences the Behavioral Intention, • Subjective Norm positively influences the Perceived Ease of Use, • Subjective Norm positively influences the Perceived Usefulness, • Stability positively influences Perceived Ease of Use, • Tailoring positively influences Job Relevance, and • Training positively influences Behavioral Intention. Perceived Usefulness Perceived Ease of Use Behavioral Intention for the Acceptance of Processes Subjective Norm Organizational Culture Tailoring Outputs & Results Job Relevance Objective Usability Facilitating Conditions Operations & Maintenance Granularity Training Modeling Medium Audit Participation in Development Stability WHAT'S MORE? In this research, we aimed to develop an acceptance model for processes, namely the process acceptance model (PAM). For this purpose, a questionnaire was developed to collect data from people having relationship(s) with certain process-focused models and/or standards (CMMI, ISO 15504, ISO 9001, ISO 27001, AQAP-160, AQAP-2110, and/or AS 9100). To revise and refine the questionnaire, expert reviews were ensured, and a pilot study was conducted with 60 usable responses. After reviews, refinements and piloting, the questionnaire was deployed to collect data, and in total 368 usable responses were collected from the people. Here, the collected data were screened concerning incorrectly entered data, missing data, outliers and normality, and reliability and validity of the questionnaire were ensured. Partial least squares structural equation modeling (PLS SEM) was applied to develop the PAM. In this context, exploratory and confirmatory factor analyses were applied, and the initial model was estimated and evaluated. The initial model was modified as required by PLS SEM, and confirmatory factor analysis was repeated, and the modified final model was estimated and evaluated. Consequently, we developed the PAM with 18 factors and their statistically significant relationships. @mustafadegerli /md.mustafadegerli /in/mustafadegerli
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Mustafa Degerli - 2012 - SEPG EUROPE 2012 - Poster - Factors Influencing the Acceptance of Processes: The Process Acceptance Model
Transcript of Mustafa Degerli - 2012 - SEPG EUROPE 2012 - Poster - Factors Influencing the Acceptance of...
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ABSTRACT
• We used descriptive statistics and t-tests to discover some interesting, meaningful, and important points to be taken into account regarding the acceptance of processes. 23 interesting, meaningful, and important points were elicited.
• We analyzed collected quantitative data, and discovered three additional factors regarding the acceptance of processes. Management Commitment and Sponsorship, Measurement, and Role in Performance Evaluation are the supplementary three major factors to be taken into account to promote and/or ensure the acceptance of processes.
• We developed a 45-item checklist to test and/or promote the acceptance of processes.
For futher details, please use the given info to contact.
• Acceptance: Demonstrable willingness of users to employ a system (e.g. process system) for tasks that it is intended to support.
• Audit: Careful check or review of something, or objective examination of work product(s) or process(es) pertaining to a specific set of criteria.
• Behavioral Intention: Degree to which an individual has formulated conscious plans to perform or not perform an identified behavior (e.g. acceptance of processes).
• Facilitating Conditions: Organizational and/or technical infrastructure available so as to support the use of the nominated system (e.g. process system).
• Granularity: Detail level of a process. It is assumed good granularity means not too much or too less information or details contained in defined processes. To be exact, there should be just required and enough information and steps in processes, nothing more or less for a good granularity process.
• Job Relevance: Applicability of a target system (e.g. processes) to a job. That is, relevance and applicability are required.
• Medium: Implies three main pre-defined things: language of process documentations, media of the process system as online or hard-copy, and elements contained in process definitions as texts, and/or visuals, etc.
• Modeling: Implies a process modeling, which is an abstract depiction of a process architecture, design, or definition.
• Objective Usability: Assessment of systems (e.g. processes) based on the actual level of effort necessary on a way to complete a specific task, instead of one that is perceived.
• Operation & Maintenance: Efforts and/or resources devoted for operations and maintenance of processes. With good operation & maintenance practices, it is assumed that there are actively and proactively definition, deployment, and maintenance of processes by devoted and proficient bodies or systems.
• Organizational Culture: Set of collective mental conventions guiding interpretation and action in organizations by way of defining proper behavior meant for various situations or contexts (e.g. processes content and context).
• Outputs & Results: Degree to which a person rely on that the results of using a system (process system) are concrete, noticeable, and communicable, and the degree to which a person have confidence in that a system (e.g. process system) performs his or her job tasks well and in an expected manner.
• Participation in Development: Participation or share of management people, practitioners, or doers in development of processes, before deployment or during definition to ensure its applicability and appropriateness. Additionally, importance of qualified personnel in development and commitments of people before deployment are stressed.
• Perceived Ease of Use: Degree to which an individual believes that use of something (e.g. processes) is to be free of effort.
• Perceived Usefulness: Degree to which an individual believes that using a system (e.g. process system) will help him or her to attain gains in job performance.
• Stability: Condition in which processes are updated not too frequently or disturbingly. It is implied that processes should be generally stable, and changes and improvements should be incorporated as planned and required.
• Subjective Norm: Degree to which an individual recognizes that most people who are significant to her/him think she/he should or should not use the system (e.g. processes).
• Tailoring: Act of making, altering, or adapting processes for specific aims. Specifically, for processes, tailoring should be there to provide that processes are properly suited regarding lifecycle and other realities of projects.
• Training: Options for formal and informal learning, including classroom training, informal mentoring, web-based training, guided self-study, or formalized on-the-job programs. Via this factor, requirement of trainings regarding processes, process purposes, and process systems, structures and interactions is remarked.
DEFINITIONS OF ACCEPTANCE AND RELATED FACTORS FOR PROCESSES
THE PROCESS ACCEPTANCE MODEL (PAM)
Mustafa DEGERLI ([email protected]) & Sevgi OZKAN ([email protected])
Department of Information Systems, Graduate School of Informatics at the Middle East Technical University, TR
Factors Influencing the Acceptance of Processes: The Process Acceptance Model (PAM)
CONCLUSIONS
As results of quantitative data analysis and interpretations, there are 18 factors determined for the content and context of acceptance of processes. These are Perceived Usefulness, Perceived Ease of Use, Behavioral Intention, Facilitating Conditions, Subjective Norm, Outputs & Results, Job Relevance, Objective Usability, Organizational Culture, Audit, Tailoring, Operations and Maintenance, Stability, Granularity, Participation in Development, Training, Medium, and Modeling. These factors were further analyzed and interpreted quantitatively, and the process acceptance model (PAM) was developed with below listed relations of the identified factors. In the content and context for the acceptance of processes: • Audit positively influences Perceived Ease of Use, • Audit positively influences Perceived Usefulness, • Facilitating Conditions positively influences Behavioral Intention, • Facilitating Conditions positively influences Perceived Usefulness, • Granularity positively influences Stability, • Job Relevance positively influences Outputs & Results, • Modeling positively influences Behavioral Intention, • Medium positively influences Behavioral Intention, • Medium positively influences Perceived Ease of Use, • Organizational Culture positively influences Subjective Norm, • Operation and Maintenance positively influences Perceived Ease of Use, • Outputs & Results positively influences Perceived Ease of Use, • Outputs & Results positively influences Perceived Usefulness, • Objective Usability positively influences Perceived Ease of Use, • Participation in Development positively influences Behavioral Intention, • Perceived Ease of Use positively influences the Behavioral Intention, • Perceived Ease of Use positively influences the Perceived Usefulness, • Perceived Usefulness positively influences the Behavioral Intention, • Subjective Norm positively influences the Perceived Ease of Use, • Subjective Norm positively influences the Perceived Usefulness, • Stability positively influences Perceived Ease of Use, • Tailoring positively influences Job Relevance, and • Training positively influences Behavioral Intention.
Perceived Usefulness
Perceived Ease of Use
Behavioral Intention for
the Acceptance of
Processes
Subjective Norm
Organizational Culture
Tailoring
Outputs & Results
Job Relevance
Objective Usability
Facilitating Conditions
Operations & Maintenance
Granularity
Training
Modeling
Medium
Audit
Participation in Development
Stability
WHAT'S MORE?
In this research, we aimed to develop an acceptance model for processes, namely the process acceptance model (PAM). For this purpose, a questionnaire was developed to collect data from people having relationship(s) with certain process-focused models and/or standards (CMMI, ISO 15504, ISO 9001, ISO 27001, AQAP-160, AQAP-2110, and/or AS 9100). To revise and refine the questionnaire, expert reviews were ensured, and a pilot study was conducted with 60 usable responses. After reviews, refinements and piloting, the questionnaire was deployed to collect data, and in total 368 usable responses were collected from the people. Here, the collected data were screened concerning incorrectly entered data, missing data, outliers and normality, and reliability and validity of the questionnaire were ensured. Partial least squares structural equation modeling (PLS SEM) was applied to develop the PAM. In this context, exploratory and confirmatory factor analyses were applied, and the initial model was estimated and evaluated. The initial model was modified as required by PLS SEM, and confirmatory factor analysis was repeated, and the modified final model was estimated and evaluated. Consequently, we developed the PAM with 18 factors and their statistically significant relationships.
@mustafadegerli /md.mustafadegerli /in/mustafadegerli
