Search results

The purpose of the study is to examine the dynamics in the troika of asset pricing, volatility, and the business cycle in the US and Japan.

The study uses a six-factor asset pricing model to derive the realized volatility measure for the GARCH-type models.

The comprehensive empirical investigation led to the following conclusion. First, the results infer that the market portfolio and human capital are the primary discounting factors in asset return predictability during various phases of the subprime crisis phenomenon for the US and Japan. Second, the empirical estimates neither show any significant impact of past conditional volatility on the current conditional volatility nor any significant effect of subprime crisis episodes on the current conditional volatility in the US and Japan. Third, there is no asymmetric volatility effect during the subprime crisis phenomenon in the US and Japan except the asymmetric volatility effect during the post-subprime crisis period in the US and full period in Japan. Fourth, the volatility persistence is relatively higher during the subprime crisis period in the US, whereas during the subprime crisis transition period in Japan than the rest of the phases of the subprime crisis phenomenon.

The study argues that the empirical investigations that employed the autoregressive method to derive the realized volatility measure for the parameter estimation of GARCH-type models may result in incurring spurious estimates. Further, the empirical results of the study show that using the six-factor asset pricing model in an intertemporal framework to derive the realized volatility measure yields better estimation results while estimating the parameters of GARCH-type models.

This study demonstrates how artificial intelligence (AI) shapes the strategic planning process in volatile, uncertain, complex and ambiguous (VUCA) business environments. Having adopted various domains of the Cynefin framework, the research explores AI's transformative potential and provide insights regarding how organisations can harness AI-driven solutions for strategic planning.

This conceptual paper theorises the role of AI in strategic planning process in a VUCA world by integrating extant knowledge across multiple literature streams. The “model paper” approach was adopted to provide a theoretical framework predicting relationships among considered concepts.

The paper highlights potential application of the Cynefin framework to manage complexities in strategic decision-making process, the transformative impact of AI at different stages of strategic planning, the required strategic planning characteristics within VUCA to be supported by AI and the attendant challenges posed by AI integration in the uncertain business landscape.

This study pioneers a theoretical exploration of AI's role in strategic planning within the VUCA business landscape, guided by the Cynefin framework. Thus, it enriches scholarly discourse and expands knowledge frontiers.

This chapter explores the multiplicity, formation, and porosity of organizational boundaries in new, fluid forms of production. Conceptualizing them as “partial organizations,” we argue that both the intentional design of organizational elements (such as membership, hierarchy, rules, monitoring, and sanctioning) as well as unintended adjustments of “unorganized” aspects drive boundary formation and impact boundary porosity. In addition, we contend that structuring dynamics will create specific trajectories for boundaries over time. Empirically, we further our theoretical framework on the basis of an in-depth case study of the Apache open-source software community during its formative years (1995–2002). We find that both the salience and formalization of boundaries increase over time. However, different conceptions of boundaries (such as efficiency, competence, power, and identity) become salient at different points in time. While design and adjustment drive boundary formation with regard to all boundary conceptions in our empirical case, porosity develops differently for each of them. We also demonstrate that the formalization of boundaries does not necessarily reduce boundary porosity, but actually may increase it.

Capital structure is an important factor for the company because it will be directly related to the financial condition of the company. This study aims to determine the effect of asset structure, earning volatility, and financial flexibility on capital structure.

The population in this study was 52 companies in the consumer goods industry sector on the Indonesia stock exchange (IDX) and a sample of 39 companies obtained by purposive sampling method. The research method used in this study is multiple linear regression analysis using Eviews software.

The test results in the study show that asset structure and financial flexibility have a positive effect on capital structure, while earning volatility does not affect capital structure in companies in the consumer goods industry sector on the IDX.

The results of this research can contribute to the addition of knowledge in the field of accounting, especially regarding the capital structure. Company management can use the results of this research as a reference and consideration to find out the factors that affect the capital structure so that company management can still maintain the company's survival and improve company performance.

The results of this study can contribute to the addition of knowledge in the field of accounting, especially regarding capital structure. Company management can use the results of this research as a reference and consideration to determine the factors that affect the capital structure so that company management can still maintain the survival of the company and improve company performance.

This study only uses the variables of asset structure, financial flexibility and earning volatility as independent variables. Further research is recommended to consider the use of other variables that can affect capital structure and if using the same variable is expected to use research objects that have stable or increasing asset and income values, so that asset structure variables and profit volatility can show significant results and influences.

This study is one of the few studies that examines how the effect of asset structure, profit volatility and financial flexibility on capital structure in companies in the consumer goods industry sector on the IDX. Company management must pay attention to the composition of the capital structure as well as possible and make careful planning and the right decisions so as to produce a capital structure that can provide profits.

The purpose of this paper is to focus on the leadership competencies of the Z generation (born after 1997) in the VUCA business environment. In today’s scenario, the business works differently than it used to previously. The young workforce wants not just to contribute their energy to the organisation but to their colleagues and themselves too, with the leading global sceneries.

An unstructured questionnaire was prepared by testing the reliability and validity of the data. Multiples linear regression analyses were used to derive results and to check whether the competencies are dependent on the VUCA skill sets. Entrepreneurial leadership, enabling leadership, operational leadership and architectural leadership are chosen to be the independent variables for this study.

The findings reveal that the dependability is on all the four factors for the VUCA business environment and hence the need is to practice the same in the organisation.

The test has been done on a sample having 260 respondents. This study reveals data of the workspace environment only and not how Gen Z will behave to the conditions as individuals. Gender-perspective is not taken into account in this study.

The implications can be seen for the organisations’ understanding of how to deal with generation Z and empower them. The organisation-structure and processes that were developed previously will not be limited now just to making the organisations function but also impact self-development for Gen Z, the development that is focussed on work-teams of Gen Z and so the global market eventually.

The originality is in the variables that have been taken for this study. As the world is growing rapidly, the mind-set and the style in which the manager works are changing. Therefore, it is necessary to take into account what leadership style will affect the current business environment.

Momentum returns are considered an anomaly in the finance literature as their existence cannot be fully explained under the asset pricing paradigm. This study attempts to shed more light on this anomaly by investigating the determinants of momentum returns.

The panel data technique is applied to the sample of 40 countries worldwide from 1996 to 2018. The authors use the panel-corrected standard error (PCSE) model to estimate the coefficient of World Governance Indicators (WGI), whereas the fixed effect model is used to determine the coefficient for corporate governance indicators (CGIs). The choice of PCSE estimation methods is guided by the fact that WGI variables are subjected to serial correlation, heteroskedasticity and cross-sectional dependence problems while CGI variables are not. Furthermore, a composite WGI index is constructed using principal component analysis (PCA).

Regression analysis shows a negative and significant relationship between WGI index and momentum returns. The negative coefficient value of WGI supports the prediction of the overreaction hypothesis, which postulates a lower behavioral bias in the market with high governance quality. Breaking down of the WGI by their six indicators reveals that four of the indicators (control over corruption, government effectiveness, stability and avoidance of violence) are negative statistically significant with momentum returns while two indicators are not significant. As for CGIs, only one (strength of investor protection) of the four tested indicators is negative and significantly related to momentum returns.

The study fills the gap in economic literature by highlighting the association between governance quality at the country (WGI) and firm level (CGI) on stock momentum returns.

The purpose of this paper is to explore socio-economic implications of decentralized autonomous self-owned businesses.

The authors take the approach of a case study analysis.

Unlike dark scenarios according to which almost half of our jobs are at risk in the wake of new emerging technologies such as AI and Blockchain (Frey and Osborne, 2013), the authors envision a world of decentralized autonomous self-owned businesses, using the example of the taxi market. The authors, first, outline their characteristics and how they work. Second, they elaborate on the socio-economic implications of markets where this novel kind of business enters. Third and most important, the authors argue that so-called robo-economic systems would be tantamount to a post-capitalistic society that is enforced by applying capitalistic principles.

The presented scenario of this paper is very futuristic and furthermore reduces a complex system quite drastically to be able to focus on the two implications of interest. Therefore, we are confronted with the necessity to take assumptions on socio-technical feasibilities and individual preferences. Most of these assumptions can be challenged (see Section 6.3).

The scenario presented by the authors stands in contrast to the fear that increased automation inherently leads to increased inequality. There is a general debate going on whether automation and digitalization will lead to a massive loss of employment, because machines will replace humans in many fields of work. Frey and Osborne (2013) estimate that nearly every second job is at risk to disappear in the coming decades because of computerization. Hence, many people fear to be left behind because of this development and inequality will increase tremendously as only those who own the machines will benefit directly from the profit share. In the scenario, however, the profits are mostly distributed among the consumers via reduced prices.

The proposed scenario seems to reconcile socialism (less private property) with liberalism (a radicalization of markets) and shows an effective way to tackle market power, the problem that certain persons and firms would benefit almost exclusively from the increased profit margins promised by automation.

The purpose of this paper is to describe how seven sourcing models operate along a continuum depending on the complexity of the marketplace and the strategic needs of buyers and suppliers. Studies of business procurement and sourcing practices reveal that collaborative and holistic approaches will increase efficiencies and value in strategic outsourcing relationships.

The design is based on research and fieldwork from the University of Tennessee and vetted with the Sourcing Industry Group, the Center for Outsourcing Research and Education and the International Association for Contracts and Commercial Management. This work provided the basis and framework for the 2015 book, Strategic Sourcing in the New Economy: Harnessing the Potential of Sourcing Business Models in Modern Procurement.

Most organizations operate under conventional transaction-based models that are constrained by a formal, legally oriented, risk-averse and liability-based culture. There is growing awareness that transactional-based approaches do not always give each party the intended, or best, results. University of Tennessee research shows how organizations apply alternative output- and outcome-based approaches for complex contracts. That experience demonstrates that alternative Sourcing Business Models are viable approaches to the conventional transactional methods[1]. As senior leaders see positive results from carefully crafted collaborative agreements, momentum grows for both output- and outcome-based approaches.

Education on sourcing business models.

Collaborative outsourcing.

The study tests the hypothesis that following the arrival of news in the forex market, the trader/dealers demonstrate two kinds of biases which makes markets volatile: “Recurrence bias,” the belief that news which formerly led to volatility, will again generate volatility (i.e. volatility is recurring), and “Volatility Perception Bias,” the belief that increased volatility following the arrival of a news would persist.

The author uses a preliminary survey and three simulated trading game experiments involving professional foreign exchange dealers to understand these heuristic-led biases and the biases' impact on market volatility.

The paper finds evidence supporting the presence of both “Recurrence Bias” and “Volatility Perception Bias” and a statistically significant, positive impact of participant biases' on market heterogeneity.

The paper makes two important contributions: first, the use of simulated trading game experiment involving professional dealers and second, the incorporation of dealers' biases and heuristics in understanding forex volatility.