The analysis of social capital in online social communities

Social networks have proven to be an attractive avenue of investigation for researchers since humans are social creatures. Numerous literature have explored the term “social networks” from different perspectives and in diverse research fields. With the popularity of the Internet, social networking has taken on a new dimension. Online social communities therefore have become an emerging social avenue for people to communicate in today’s information age. People use online social communities to share their interests, maintain friendships, and extend their so-called circle of “friends”. Likewise, social capital, also known as human capital, is an important theory in sociology. Researchers usually utilise social capital theory when they investigate the topic relating to social networks. However, there is little literature that can provide an explicit and strong assertion in that research area due to the complexity of social capital. This thesis therefore focuses on the issue related to providing a better understanding about the relationship between social capital and online social communities. To enhance the value within the scope of this analysis, an online survey was conducted to examine the effects of the dimensions of social capital: relational capital, structural capital, and cognitive capital, determining the intensity of using online social communities. The data were derived from a total of 350 self-selected respondents completing an online survey during the research period. The main results indicate that social capital exists in online social communities under normal circumstances. Finally, this thesis also presents three contributions for both theory and practice in Chapter 5. The main results contribute to the understanding of connectivity in the interrelationships between individual social capital exchange within online social networks. Secondly, social trust was found to have a weak effect in influencing the intensity of individuals using online social communities. Third, the perpetual role of information sharing has an indirect influence on individual users participating in online social communities. This study also benefits online marketing consultants as marketers can not only gain consumer information easier from online social communities but also this understanding assists in designing effective communication within online social communities. The cross-sectional study, the reliability of Internet survey data, and sampling issues are the major three limitations in this research. The thesis provides a new research model and recommends that the mediating effects, privacy paradox, and social trust on online social communities should be further explored in future research.

Scene invariant crowd counting and crowd occupancy analysis

In public places, crowd size may be an indicator of congestion, delay, instability, or of abnormal events, such as a fight, riot or emergency. Crowd related information can also provide important business intelligence such as the distribution of people throughout spaces, throughput rates, and local densities. A major drawback of many crowd counting approaches is their reliance on large numbers of holistic features, training data requirements of hundreds or thousands of frames per camera, and that each camera must be trained separately. This makes deployment in large multi-camera environments such as shopping centres very costly and difficult. In this chapter, we present a novel scene-invariant crowd counting algorithm that uses local features to monitor crowd size. The use of local features allows the proposed algorithm to calculate local occupancy statistics, scale to conditions which are unseen in the training data, and be trained on significantly less data. Scene invariance is achieved through the use of camera calibration, allowing the system to be trained on one or more viewpoints and then deployed on any number of new cameras for testing without further training. A pre-trained system could then be used as a ‘turn-key’ solution for crowd counting across a wide range of environments, eliminating many of the costly barriers to deployment which currently exist.

Case study analysis of six sigma in Singapore service organizations

This paper presents a Six Sigma case study analysis involving three service organizations of Singapore. The organizations are a local hospital, a construction and related engineering service, and a consultancy service. These organizations embarked on their Six Sigma journey around 2003-2004. Though the hospital was slightly ahead than the other two in beginning Six Sigma. These organizations have since achieved significant service improvements through implementation of Six Sigma to their different divisions. Through a series of structured interviews with Six Sigma project champions, team leaders, and members; project reports; public archives; and observations; this study explores the Six Sigma journey of these organizations. The results portray a list of success factors which led to the Six Sigma initiatives, the process of Six Sigma implementation through proper identification of critical-to-quality characteristics, tools and techniques, and the performance indicators which display the improvements due to Six Sigma.

Understanding business process models : the costs and benefits of structuredness

Previous research has put forward a number of properties of business process models that have an impact on their understandability. Two such properties are compactness and(block-)structuredness. What has not been sufficiently appreciated at this point is that these desirable properties may be at odds with one another. This paper presents the results of a two-pronged study aimed at exploring the trade-off between compactness and structuredness of process models. The first prong of the study is a comparative analysis of the complexity of a set of unstructured process models from industrial practice and of their corresponding structured versions. The second prong is an experiment wherein a cohort of students was exposed to semantically equivalent unstructured and structured process models. The key finding is that structuredness is not an absolute desideratum vis-a-vis for process model understandability. Instead, subtle trade-offs between structuredness and other model properties are at play.

Quantitative approaches to content analysis : identifying conceptual drift across publication outlets

Unstructured text data, such as emails, blogs, contracts, academic publications, organizational documents, transcribed interviews, and even tweets, are important sources of data in Information Systems research. Various forms of qualitative analysis of the content of these data exist and have revealed important insights. Yet, to date, these analyses have been hampered by limitations of human coding of large data sets, and by bias due to human interpretation. In this paper, we compare and combine two quantitative analysis techniques to demonstrate the capabilities of computational analysis for content analysis of unstructured text. Specifically, we seek to demonstrate how two quantitative analytic methods, viz., Latent Semantic Analysis and data mining, can aid researchers in revealing core content topic areas in large (or small) data sets, and in visualizing how these concepts evolve, migrate, converge or diverge over time. We exemplify the complementary application of these techniques through an examination of a 25-year sample of abstracts from selected journals in Information Systems, Management, and Accounting disciplines. Through this work, we explore the capabilities of two computational techniques, and show how these techniques can be used to gather insights from a large corpus of unstructured text.

Learning or legitimacy? an exploration of business planning amongst Australian social enterprises

In recent years, the value of business planning for new business ventures and small firms has been the subject of debate amongst entrepreneurship researchers (Brinckmann et al 2010: 24). Drawing on institutional theory, a number of writers suggest that business planning is primarily used to confer symbolic legitimacy on businesses seeking investment and engagement from external stakeholders ( Karlsson & Honig 2009; Zimmerman & Zeitz 2002; Delmar & Shane 2004). In this sense, business planning may not have any significant effects on firm learning, but may be used as evidence of good business operations in order to attract external resources. Meta-evaluation of the available empirical literature contests this proposition, finding that both the symbolic and organisational learning effects of business planning influence small firm performance (Brinckmann et al 2010: 36) While social enterprise – which we define as organisations that exist for a public or community benefit and trade to fulfill their mission - the study of social enterprise is a nascent and pre-paradigmatic area of inquiry (Nicholls 2010). As a consequence, there has been relatively little empirical analysis of the nature or effects of business planning amongst social enterprises (for two exceptions, see exploratory studies by Hynes 2009 and Bull & Crompton 2006). In this paper, we examine business planning practices amongst Australian social enterprises. Drawing on a survey of 365 social enterprises conducted in 2010 and in-depth interviews with 11 social entrepreneurs and managers from eight social enterprises, we find that social enterprises report being more actively engaged in business planning activities than their mainstream business counterparts. Our exploratory research suggests that both legitimacy and learning drive business planning amongst social enterprises, although legitimacy is the stronger driver. Our results also suggest that, as multi-stakeholder businesses led by mission, business planning can serve unique communicative and relational functions for this business type.

An analysis of the qualitative characteristics of management commentary reporting by New Zealand companies

The narrative section of annual reports has considerable value to its user groups, such as financial analysts and investors (Tiexiera, 2004; Barlett and Chandler, 1997, IASB, 2006). This narrative section including chairpersons’/presidents’ statement contains twice the quantity of information than the financial statements section (Smith and Taffler, 2000). However, the abundance of information does not necessarily enhance the quality of such information (IASB, 2006). This issue of qualitative characteristics has been long foregone by researchers. This issue has attracted the attention of IASB (2006). Following the dearth in research in regard to qualitative characteristics of reporting this paper explores whether investors’ required qualitative characteristics as outlined by the IASB (2006) have been satisfied in management commentary section of New Zealand companies’ annual reports. Our result suggests that the principal stakeholders’, that is, investors’ qualitative characteristics requirements have been partially met in this section of annual reports. The qualitative characteristic of ‘relevance’ and ‘supportability’ have been satisfied in more annual reports compared to that of ‘balance’ and ‘comparability.’

Leadership and the rise of the corporate psychopath: What can business schools do about the ‘snakes inside’?

Purpose: Leadership styles are reviewed and reassessed given recent research that links destructive leadership behaviours exhibited by unscrupulous executives with traits commonly identified as indicators of corporate psychopathy. Method/approach: A review of the literature describing the various theories dealing with the nature of leadership styles and the rise of interest in corporate psychopathy and destructive leadership. Implications: This paper offers a psychological perspective for future research which provides both impetus and additional support for further analysis and exploration of such leadership styles in the business environment. One distinct advantage of this extrapolation is the articulation of insights into aspects of decision making by leaders, providing further insight into the formulation of leadership development programs in organisations and courses in business schools training future leaders.

Understanding IT business value creation and evaluation in least developed economies

Information Technology (IT) is an important resource that can facilitate growth and development in both the developed and developing economies. The forces of globalisation increase the digital divide between the developed and developing economies is increasing. The least developed economies (LDEs) are the most vulnerable within this environment. Intense competition for IT resources means that LDEs need a deeper understanding of how to source and evaluate their IT-related efforts. This effort puts LDEs in a better position to source funding from various stakeholders and promote localized investment in IT. This study presents a complementary approach to securing better IT-related business value in organizations in the LDEs. It further evaluates how IT and the complementaries need to managed within the LDEs. Analysis of data collected from five LDEs show that organizations that invest in IT and related complementaries are able to better their business processes. The data also suggest that improved business processes lead to overall business processes improvements. The above is only possible if organizations adopt IT and make related changes in the complementary resources within the established culture and localizing the required changes.

Market Trend Analysis of Purpose Built Office (PBO) in Malaysia

The purpose of this paper is to explore the trend of Purpose Built Office (PBO) supply and occupancy in Malaysia. In achieving this, the number of PBO supply by the private sector in the market is compared with the government sector to gain an understanding of the current emerging market for the PBO. There have been limited studies in Malaysia comparing the trend supply and occupancy of PBOs by both sectors. This paper outcome will illustrate the needs for public sector asset management in Malaysia, particularly for PBOs. An analytical framework is developed using time series to measure the level of supply and occupancy of PBO by both sectors, indicating the percentage of government’s PBO compared to the total numbers of PBOs in the market from 2004 to 2010

International entrepreneurial values elicited through repertory test and laddering analysis : an SME, internet-enabled tourism perspective

This study explores the international entrepreneurial values influencing the intensity of Internet use in the internationalization process of small to medium sized enterprises (SMEs), within the Australian tourism industry. The findings point to a relationship between the values of international entrepreneurs and the inclination of the firm to develop and initiate international activity. And so, this study endeavors to offer insight into issues that remain unresolved in existing tourism and international entrepreneurship (IE) literature. Two effective but underutilized qualitative methods were used in this study to identify the values of international entrepreneurs. They are repertory test and laddering analysis.

Virtual worlds as a model-view approach to the communication of business processes models

The improvement and optimization of business processes is one of the top priorities in an organization. Although process analysis methods are mature today, business analysts and stakeholders are still hampered by communication issues. That is, analysts cannot effectively obtain accurate business requirements from stakeholders, and stakeholders are often confused about analytic results offered by analysts. We argue that using a virtual world to model a business process can benefit communication activities. We believe that virtual worlds can be used as an efficient model-view approach, increasing the cognition of business requirements and analytic results, as well as the possibility of business plan validation. A healthcare case study is provided as an approach instance, illustrating how intuitive such an approach can be. As an exploration paper, we believe that this promising research can encourage people to investigate more research topics in the interdisciplinary area of information system, visualization and multi-user virtual worlds.

Integration of opinion into customer analysis model

Nowadays, Opinion Mining is getting more important than before especially in doing analysis and forecasting about customers’ behavior for businesses purpose. The right decision in producing new products or services based on data about customers’ characteristics means profit for organization/company. This paper proposes a new architecture for Opinion Mining, which uses a multidimensional model to integrate customers’ characteristics and their comments about products (or services). The key step to achieve this objective is to transfer comments (opinions) to a fact table that includes several dimensions, such as, customers, products, time and locations. This research presents a comprehensive way to calculate customers’ orientation for all possible products’ attributes. A use case study is also presented in this paper to show the advantages of using OLAP and data cubes to analyze costumers’ opinions.

Approximate clone detection in repositories of business process models

Evidence exists that repositories of business process models used in industrial practice contain significant amounts of duplication. This duplication may stem from the fact that the repository describes variants of the same pro- cesses and/or because of copy/pasting activity throughout the lifetime of the repository. Previous work has put forward techniques for identifying duplicate fragments (clones) that can be refactored into shared subprocesses. However, these techniques are limited to finding exact clones. This paper analyzes the prob- lem of approximate clone detection and puts forward two techniques for detecting clusters of approximate clones. Experiments show that the proposed techniques are able to accurately retrieve clusters of approximate clones that originate from copy/pasting followed by independent modifications to the copied fragments.

Investigating the future of project management : a co-word analysis approach

If Project Management (PM) is a well-accepted mode of managing organizations, more and more organizations are adopting PM in order to satisfy the diversified needs of application areas within a variety of industries and organizations. Concurrently, the number of PM practitioners and people involved at various level of qualification is vigorously rising. Thus the importance to characterize, define and understand this field and its underlying strength, basis and development is paramount. For this purpose we will referee to sociology of actor-networks and qualitative scientometrics leading to the choice of the co-word analysis method in enabling us to capture the project management field and its dynamics. Results of a study based on the analysis of EBSCO Business Source Premier Database will be presented and some future trends and scenarios proposed. The main following trends are confirmed, in alignment with previous studies: continuous interest for the “cost engineering” aspects, on going interest for Economic aspects and contracts, how to deal with various project types (categorizations), the integration with Supply Chain Management and Learning and Knowledge Management. Furthermore besides these continuous trends, we can note new areas of interest: the link between strategy and project, Governance, the importance of maturity (organizational performance and metrics, control) and Change Management. We see the actors (Professional Bodies, Governmental Bodies, Agencies, Universities, Industries, Researchers, and Practitioners) reinforcing their competing/cooperative strategies in the development of standards and certifications and moving to more “business oriented” relationships with their members and main stakeholders (Governments, Institutions like European Community, Industries, Agencies, NGOs…), at least at central level.