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The purpose of this paper is to provide a systematic classification for frameworks, methods, and models of in-project quantitative risk analysis (IQRA) for the last 30 years.

An extensive literature review is conducted to identify pertinent IQRA works. Identified IQRA frameworks/methods/models are then classified on the basis of commonalities in key attributes and assumptions. Linkages between each category of IQRAs and dimensions of complexity are also observed.

Around 70 key publications on IQRAs are identified. Major attributes for each work are described. Five distinct categories of IQRAs emerge with unique linkages to complexity dimensions. An analytical framework in the form of a matrix is presented to illuminate evolution on modeling characteristics and to indicate a relationship between respective category and dimensions of project complexity.

The research coverage is intended to be comprehensive but it is by no means exhaustive. This study highlights research opportunities in IQRAs and the possible extension toward in-project quantitative complexity analysis (IQCA).

The proposed matrix provides guidance to practitioners to select the appropriate category of IQRAs for a specific project complexity type in a contingency fashion. The study highlights lessons from development and utilization of IQRAs. Outstanding issues from IQRAs are discussed to avoid similar drawbacks for IQCAs.

This study provides an original framework/matrix to classify extant works in IQRAs. It also establishes an association between IQRAs and the emerging conceptual works of complexity.

The purpose of this paper is to develop and to empirically verify a model of project risk management maturity (PRMM).

Theoretical work to develop the initial model of risk maturity. Empirical study by a cross-sectional survey to the Indonesian construction industry.

A new model of PRMM is developed and empirically tested. The model is valid (face validity, content validity, discriminant validity, convergent validity, and criterion validity) and reliable.

A more comprehensive, follow-up study is required to gain more insights on the actual maturity level of Indonesian construction industry.

The model is applicable to assess the organizational maturity level which in turn could be used for improving organization performance.

The work demonstrates a novel approach in developing models by emphasizing on the empirical verification.

The purpose of this paper is to investigate whether the presence of controlling shareholder affects the value of diversification based on Indonesian listed firms. It further examines whether the degree of controlling ownership and the types of controlling ownership matter.

Panel data were used over the period 2006-2010 with dynamic generalised method-of-moments estimations and it defined diversification as industrial diversification, international diversification or diversification in both. A few different thresholds for the control rights of the largest shareholder are also set.

The results show that industrial diversification improves firm value but international diversification does not, while diversified in both strategies discounted firm value. The presence of a controlling shareholder is found to have a significant diversification discount, and the effect is nonlinear, where the entrenchment effect occurs around 20 to60 per cent threshold of controlling across all types of diversified firms. Last, foreign firms are found to enjoy more value from industrial diversification, but it takes an adverse turn when these involve both diversification strategies. Government firms do not seem to be different from family firms.

The study shows the need to differentiate diversification strategies and account for non-linearity and ownership identity in modelling diversification value. Also, the degree of shareholders’ control can be a significant channel to address the agency issue on diversification value.

Under the backdrop of unique Indonesian corporate ownership, the presence of controlling owners is shown, and their ownership affects the value of diversification. The entrenchment effect however appears only at a certain range of ownership. This is a crucial guide for the shareholders to ensure an appropriate monitoring system is installed to maximize the shareholder’s value, especially in family firms.

The value of this paper is twofold. At first, the first empirical evidence on the diversification debate with Indonesian firms for its unique institutional setting is presented. Second, the standard modelling framework to investigate the types of ownership on diversification value is extended, which has rarely been covered in previous investigations.

The purpose of this paper is to review the risk categories which are predominant in international projects and to rank them according to their effect on project success.

A literature survey of peer-reviewed journal articles, survey reports and books on project management is used as the research methodology. One among the various multi-criteria decision making methods named as Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) has been used to rank the risk categories according to their importance. The data for TOPSIS were collected through questionnaire as the research instrument.

The findings derived from evaluation of the publications led to the identification of eight different types of risk categories associated with international projects. The TOPSIS method resulted into political risks, technical risks and design-related risks as the top three risk categories in international projects. Contractual and legal risks and fraudulent practices-related risks are relatively low-ranked risk category.

The findings will be useful in successful implementation of international projects as the knowledge of risk categories and their ranking will help project manager to plan the risk response strategies. A larger sample size for decision makers and more variety of projects can give more exhaustive risk categories and their ranking.

This paper explores eight different risk categories in international projects. It represents the ranking of risk categories according to their importance in project success. This will be helpful to project managers for developing a general framework for planning the appropriate risk response strategies.

Governments of many countries around the world are encouraging their industries to undertake and successfully complete projects in foreign countries. However, many industries experience failure in projects as they fail to implement the risk management (RM) effectively in international projects. This research work provides the risk categories in international projects and their ranking which can assist in developing strategies to respond the risk appropriately.

This paper uses the TOPSIS method for ranking major types of risk categories in international projects. It might represent new opportunities for rigorous and relevant research that would contribute to an in-depth knowledge of RM methodologies.

PT. Bank Central Asia, Tbk. (BCA), the largest national private bank in Indonesia, won an award for the Best Bank at the Euromoney Awards for Excellence (Asia) 2014. During the same event, in several categories, haloBCA^TM and BCA employees also won several awards. Previously, a number of awards were received by BCA such as: Best Indonesia Local Private Bank in 2010, Contact Center World Champion in 2012 and 2013, and Best Mega Contact Center in Asia Pacific Region in 2014. BCA is currently facing a problem of an aging population. Since the economy crisis facing the country in 1998, BCA has recruited fewer employees. The company resumed recruiting in 2010. BCA’s human resource (HR) profile in 2013 showed that nearly half of BCA’s permanent employees were aged 45 years or older, 40 per cent of whom have been working for more than 20 years. At the time of their retirement, the Bank faces the potential of losing a significant number of employees from three different generations. BCA has raised its efforts to recruit new talent. However, recruitment is not easy, as BCA wants its new employees to continue maintaining BCA’s heritage, building the Bank to become an Indonesian company that they can be proud of. How have these values, which have been a common belief, a foundation to work passionately and the glue that bonds the Bank’s employees, executives and owners, been communicated outside of the BCA and have been used to attract the future successors of BCA in Indonesia?

Master Degree in Human Resources Management or MBA Program.

PT Bank Central Asia Tbk (BCA), which was established on February 1957, is Indonesia’s largest lender by market value and the second largest bank by assets. The bank has experienced a remarkable recovery from the Asian Financial Crisis in the late 1990s when the Indonesian banking system became almost bankrupt. It provides both commercial and personal banking services through its 1,000-plus branches across the country. As the largest national private bank, BCA is a well-known bank in Indonesia. BCA is managing more than 12 million customer accounts, processing hundreds of millions of financial transactions and fulfilling the needs of individual and corporate customers through various products and services. BCA Automatic Teller Machines (ATMs) are located virtually and BCA’s Electronic Data Capture (EDC) machines are available at many merchants both in big cities or small towns across Indonesia’s archipelago. However, for a nation with a population of more than 240 million spread out over 34 provinces, the presence of BCA is still deemed unevenly distributed. In the next 10 years, BCA has no plan yet of expanding outside of Indonesia. BCA put its attention on developing its market in Eastern Indonesia. Funding sources, which usually becomes an issue for expanding companies, are not a source of concern for BCA. BCA is currently facing a problem of an aging population. Since the economy crisis facing the country in 1998, BCA has recruited fewer new employees. The company had recently resumed recruiting in 2010. BCA’s HR profile in 2013 showed that nearly half of BCA’s permanent employees were 45 years of age or older, 40 percent of whom have been working for more than 20 years. At the time of their retirement, the Bank faces the potential of losing a significant number of employees from three different generations. Currently, BCA has raised its efforts to recruit new talent and its future leaders through various programs, such as: BCA Development Program (BDP), one of the most acknowledged management trainee programs in the Indonesian banking industry, provides intensive and rigorous training to selected new recruits to ensure development of BCA key talents and future leaders. HR business partners that actively visit campuses in the eastern region of Indonesia. Socialization programs in state and private universities. Job fairs, Web recruitment, internships and employee referrals, job opportunity advertisements posted at BCA branch offices located near universities and in the leading mass media. Utilization of recruitment consultant services, especially to find candidates with specific qualifications. Utilization of communication media printed (poster, flyer, booklet, banners) and electronically. Provision of scholarships to high school graduates with excellent academic records but facing financial difficulties. However, recruitment is not easy for BCA because – like other well-known companies in Indonesia – the Bank only recruits the best people based on the prospective employees’ hard and soft competencies. BCA’s aim to project a positive perception toward its employees as “a fun workplace with family-oriented atmosphere, and commitment about employees’ development” has yet to strongly resonate in Indonesia’s labor market. BCA wants its new employees to continue maintaining BCA’s heritage, building the Bank to become an Indonesian company that they can be proud of. How have these values, which have been a common belief, a foundation to work passionately and the glue that bonds the Bank’s employees, executives and owners, been communicated outside of BCA and have been used to attract the future successors of BCA in Indonesia? How should BCA obtain a large number of qualified talent pools through an effective Employer Branding strategy?

By the end of discussing the case, the learner will be: conceptually: able to explain what is meant by employer branding, internal and external approach and able to explain the relationship of employer branding with business strategy, talent management strategies and HR management functions as a whole; practically: able to identify and analyze BCA Recent Condition – able to explain the BCA brand image in the eyes of public/external/job seekers in Indonesia and internal/current employees of BCA – able to identify strategies that BCA does to recruit potential job seekers – and able to explain the influence of innovative products and services that BCA has currently on BCA employer branding; able to identify BCA goals/needs; able to identify the characteristics, needs and preferences of BCA target group of workers, concerning to the latest issues arise such as: Gen Y and AEC (ASEAN Economic Community); able to evaluate the effectiveness of BCA employer branding strategy and communications and to identify the problems faced by BCA related to employer branding; able to generate ideas related to the improvement of BCA employer branding strategy and programs – what message to be branded (company unique employee value propositions – tangibles and intangibles) – what program to be implemented (internal and external) – and how is the integrated marketing communication strategy (segmenting-targeting-positioning, channels).

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CSS:6: Human Resource Management.

This study aims to investigate the dynamic aspects in the capital structure decisions of firms in Indonesia, offering an extension to the existing literature on Indonesia via a dynamic model, including the existence of target capital structure, the influencing factors, the speed of adjustments and the supporting theories to explain the findings.

This study uses a dynamic partial adjustment model estimated based on a generalized method of moments.

Indonesian firms do practice target capital structure and are influenced by firm-specific factors like profitability, business risk, firm size, liquidity and share price performance due to time-varying factors. A rapid adjustment toward target leverage is detected, thus supporting the existence of the dynamic trade-off theory (TOT). The pecking order theory (POT) also has significant influence, particularly after the new reformation of financing policy, where retained earnings are also preferred as a source of financing apart from merely external financing through bank loans. There are also traces of market timing influences where firms also seem to time their equity issuance.

Despite relatively utilizing recent data and bigger sample firms compared to the previous limited studies on Indonesia, the results of this study, however, need to be cautiously interpreted. First, the sample chosen focused on listed firms, hence may not be generalized to all Indonesian firms, listed and unlisted. Second, the study does not separate firms by sectors and their leverage positions, that is under-levered and over-levered, so as to note that financial decisions may also be affected by the sector in which the firms operate and their leverage positions. These are to be considered in future research.

There is strong evidence that the corporate financing behavior of Indonesian firms is governed by the POT and TOT. Both are dealing with the function of debt. The financial sector reformation does have a positive impact on the banking sector, but not the local corporate bond market. Therefore, regulators and policymakers should bear in mind that banking as well as private bond market in Indonesia must be tailored in such a way that both could act as intermediaries of debt financing, as bond market represents an important component of a diversified financial sector.

This study fills the gap by providing an extension to the existing literature and a deeper insight of the capital structure of Indonesian firms using a more robust dynamic model.