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Given the lack of understanding of social marketing success in theory and practice, this study aims to investigate how social marketing experts conceptualize success.

In this qualitative study, the authors conducted an open-ended online questionnaire with 48 worldwide social marketing experts, most with more than 20 years of experience in the field. The authors analyzed data using topic modeling, a machine-learning method that groups responses/terms into cluster topics based on similarities. Keywords in each topic served to generate themes for discussion.

While behavior change is mentioned as paramount to conceptualizing success, participants prefer to use more tangible and less complex forms to define/measure success, such as campaign recall uptick. In addition, lack of funding was considered an important factor in measuring success. This study provides a two-stage taxonomy to better understand success in social marketing.

To the best of the authors’ knowledge, this study is one of the first to conceptualize success in social marketing practice.

The paper seeks to show that the strategic types of service marketers (e.g. Prospectors, Defenders or Analyzers) match the types of success measures that they use to evaluate new services.

A theory is developed to show why service marketers of different strategic types use different success measures for the evaluation of new services. Using responses from 202 financial services marketers, strategic types are shown to relate in theoretically expected ways with the importance ratings of the categorized success measures.

Notable relationships among strategic types and their success measure are identified. Prospectors, for example, attach greater importance to growth performance measures, consistent with the growth orientation of their service development programs. Defenders, on the other hand, attach more importance than Prospectors to efficiency performance measures, which relate to their programs' efficiency orientation. Analyzers, interestingly, place more emphasis on objectives‐based performance measures, including strategic fit, than Prospectors.

The sampling frame purposely contains only US financial services firms; as such, future research may build upon this single‐industry, single‐country study.

Academic success literature generally disregards the strategic types of respondents in measuring the success of service development programs. Practitioners, however, seek performance measures that are consistent with their firm's business strategy. This study provides a categorization of the most important success measures as appropriate to different strategic types.

The service success literature has often dealt with the question of “what causes success?” and has rarely confronted, head‐on, the question of “what is success?”. This paper addresses this critical research gap.

Previous studies of musical group performance have suggested the need for reliable and valid measures of success. This paper aims to investigate this issue.

Using Nunnally's methodology, this study developed 18 items that might indicate relative success of performing musical groups. These items were administered to 338 musical groups from Louisiana.

Significant correlations were found among most of the measures. Factor analysis yielded two distinct success scales, one objective and one subjective scale.

While this study sampled only Louisiana‐based musical groups, the formulated scales provide a needed basis for success measurement in research on performing groups, such as musical groups, theater companies, dance and other group performance companies.

A musical group could track their objective measures over time to determine the group's continual improvement. Subjective items could be gathered using a questionnaire given to the band members on a regular basis. Decreases in subjective ratings would indicate decreasing satisfaction among group members, and would alert the band that changes might need to be made.

Research on performing service groups, such as musical groups, is often limited because of lack of accepted measures for the dependent variable of success. This research study has developed two success scales that can help measure success in these groups. The authors suggest that future research could use these success scales and the criteria of the Malcolm Baldrige National Quality Awards Program to better research the marketing and management of performing service groups.

The purpose of this paper is to identify important elements of the evaluation and definition of success in social entrepreneurship. It considers previous approaches and the lessons that can be learned from other fields of organizational studies.

The method used is based upon an objective and subjective, social constructionist view of organizational success. The paper reviews the fields of strategy, organization theory, entrepreneurship and innovation to identify relevant frameworks, measures, definitions of success, and the implications of the choice of success measures on our understanding of various phenomena.

From this perspective, it becomes apparent that how success and failure are defined is based on assumptions about the value of social enterprise and the nature of social change. In order to develop a deeper understanding of the drivers of social enterprise, there must be experimentation with a rich complement of success measures that are not limited to the triple bottom line.

The paper is of use to social enterprise researchers, practitioners and consultants who are defining what it means for a social enterprise to be successful. The insights should allow for a more conscious evaluation of a range of potential success measures and the impacts they have on our social outcomes.

Although measuring social enterprise success is recognized to be an important topic, most work in the field implicitly or explicitly identifies success based on a goal‐centred evaluation of the triple bottom line. The paper challenges this thinking to include subjectivity, causation, contestation, organizational form and the multiple polar dimensions that must be balanced by every organization. It draws on research from related fields that have already struggled with these issues and can offer valuable lessons for social enterprise.

The purpose of this paper is to identify the NPD performance success measures that manufacturing organisations use to assess the success of their new products.

Based on relevant literature review and in-depth interviews, a structured questionnaire was developed as a primary data collection method. Questionnaires were distributed to a sample of 558 manufacturing organisations in Jordan, out of which 355 were returned and valid for the analysis. Exploratory and confirmatory factor analyses were applied to reveal NPD performance success measures dimensions.

This study empirically showed that manufacturing organisations in Jordan use a multidimensional construct for NPD performance success measures to assess the success of their new products. The multidimensional construct consists of NPD financial performance, NPD internal learning, NPD capabilities improvement, NPD knowledge sharing and NPD marketing performance. The findings indicate that NPD financial performance is still the dominant dimension amongst the manufacturing organisations while measuring NDP performance. Also, the study has developed an inductive model of NPD performance success measures which shows the construct’s dimensions complexity.

The fact that the paper is a single country study focusing on the manufacturing industry limits its generalisation to other industries/contexts. The paper’s focus on manufacturing organisations limits its contribution to the manufacturing sector. The services sector is a rich field for NPD performance success measures, in addition to being an important contributor to the economy of most, if not all, countries. Further, the paper focuses on only five dimensions of NPD performance success measures, other dimensions of NPD performance success measures might add more insights to their effect on NPD performance success measures.

Utilising the findings of this study can help managers make sense of NPD success and failure and plan the NPD strategy and activities across a range of differing situations. The major contribution of this study is increasing the ability of managers to improve their skills and capabilities and focus on the dimensions of NPD success in the best way that enables them to respond effectively to uncertainty caused by changes in the product life cycle which in turn might affect the performance of NPD. The findings urge managers to deal with NPD as a complex process that should be integrated within corporate, business and functional strategies of the firm.

The originality of this paper stems from its multidimensional construct of NPD performance success measures as well as in developing an inductive model that shows the complexity of NPD performance dimensions that can be used for assessing the success of new products. The study also has its originality since it is the first empirical work conducted on the manufacturing sector in an emerging market business environment, Jordan.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

The purpose of this paper is to propose a definition of KMS success.

The paper uses a consensus‐building approach to derive the definition. An expert panel was used to generate a list of possible KM success definitions. A survey was used to identify a likely definition from this list. A second survey was used to further refine the proposed KM success definition. Finally, analysis of the survey comments was used to finalize the proposed definition.

KM success is a multidimensional concept. It is defined by capturing the right knowledge, getting the right knowledge to the right user, and using this knowledge to improve organizational and/or individual performance. KM success is measured by means of the dimensions: impact on business processes, impact on strategy, leadership, and knowledge content.

An additional survey should be performed that tests the constructs of the proposed KM success definition. Additionally, future research should focus on identifying a set of measures that can be used to measure KM success and determining whether KM and KM System (KMS), success are the same or different constructs.

The proposed definition of KM success provides practitioners with four dimensions that can be used to construct organization‐specific measures for indicating when their KM initiative is successful.

This is important, as the literature, while providing much support for identifying KM critical success factors, does not provide a definition of when KM can be considered successful. Knowing when a KM initiative is successful is important for organizations and practitioners.

The purpose of this paper is to examine how business owners in microbusinesses perceive success and how that perception may influence the growth of their enterprise.

The results of three separate studies were analysed. The data were collected with questionnaires and interviews among microbusinesses in the industries of craft and rural tourism in the area of North Karelia, Eastern Finland. Both quantitative and qualitative methods were used in the analysis.

The paper found that the motives and goals of the small business owners were not oriented towards growth, but to quality of life, job satisfaction and satisfied clientele. Consequently, business success was measured by the respect and satisfaction of the customers, job satisfaction and the quality of product. From an economic perspective, making a reasonable living, not growth, constituted a measure of success.

Generalisation is affected by the fact that the study concerns two individual industries in a small geographical area.

For policy makers, the study offers insight into the factors that affect the behaviour and decision‐making of the microbusiness entrepreneurs and, thus, the performance of their enterprise.

The study contributes to theory development by examining the little studied possible conflicts between financial and personal measures of success.

The construction industry is dynamic in nature. The concept of project success has remained ambiguously defined in the construction industry. Project success is almost the ultimate goal for every project. However, it means different things to different people. While some writers consider time, cost and quality as predominant criteria, others suggest that success is something more complex. The aim of this paper is to develop a framework for measuring success of construction projects. In this paper, a set of key performance indicators (KPIs), measured both objectively and subjectively are developed through a comprehensive literature review. The validity of the proposed KPIs is also tested by three case studies. Then, the limitations of the suggested KPIs are discussed. With the development of KPIs, a benchmark for measuring the performance of a construction project can be set. It also provides significant insights into developing a general and comprehensive base for further research.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.