Search results

The purpose of this paper is to identify and disentangle the home bias in equity crowdfunding to better understand irrational decision making of investors.

A first choice-based conjoint (CBC) experiment with 217 participants was conducted in central Europe in order to single out different factors contributing to an apparent home bias of capital providers.

The authors find that investors show an avoidance of foreign currency, while payment methods seem to have no considerable influence on the decision making. Furthermore, participants significantly decided against national legislation in favor for EU legislation.

This study predominantly helps to gain deeper insights into influencing factors in crowdfunding markets with a special concern on a cross-border context. For capital-seeking companies, the home bias of potential investor has to be taken into account, when designing a crowdfunding campaign. For legislators, the apparent influence of the legal framework should serve as a wake-up call to consolidate the regulation of crowdfunding in the EU.

This is the first CBC experiment application in a cross-border crowdfunding context. It provides deeper understanding of the importance of geographical proximity between crowdfunding projects and investors and calls for further research to examine how such an effect could be diminished.

Following behavioral finance and monetary wisdom, the authors theorize: Decision-makers (investors) adopt deep-rooted personal values (the love-of-money attitudes/avaricious financial aspirations) as a lens to frame critical concerns (short-term and long-term investment decisions) in the immediate-proximal (current income) and distal-omnibus (future inheritance) contexts to maximize expected utility and ultimate serenity across context, people and time.

The authors collected data from 277 active equity traders (professional money managers and individual investors) in Pakistan’s two most robust investment hubs—Karachi and Lahore. The authors measured their love-of-money attitude (avaricious monetary aspirations), short-term and long-term investment decisions and demographic variables and collected data during Pakistan's bear markets (Pakistan Stock Exchange, PSX-100).

Investors’ love of money relates to short-term and long-term decisions. However, these relationships are significant for money managers but non-significant for individual investors. Further, investors’ current income moderates this relationship for short-term investment decisions but not long-term decisions. The intensity of the aspirations-to-short-term investment relationship is much higher for investors with low-income levels than those with average and high-income levels. Future inheritance moderates the relationships between aspirations and short-term and long-term decisions. Regardless of their love-of-money orientations, investors with future inheritance have higher magnitudes of short-term and long-term investments than those without future inheritance. The intensity of the aspirations-to-investments relationship is more potent for investors without future inheritance than those with inheritance. Investors with low avaricious monetary aspirations and without inheritance expectations show the lowest short-term and long-term investment decisions. Investors' current income and future inheritance moderate the relationships between their love of money attitude and short-term and long-term decisions differently in Pakistan's bear markets.

The authors help investors make financial decisions and help financial institutions, asset management companies, brokerage houses and investment banks identify marketing strategies and investor segmentation and provide individualized services.

Professional money managers have a stronger short-term orientation than individual investors. Lack of wealth (current income and future inheritance) motivates greedy investors to take more risks and become more vulnerable than non-greedy ones—investors’ financial resources and wealth matter. The Matthew Effect in investment decisions exists in Pakistan’s emerging economy.

The aim of this paper is to study the rhetoric of goodwill impairment, more specifically rhetoric, as it is constructed in the form of accounts (i.e. statements that explain unanticipated or untoward behavior). The authors argue that goodwill impairment is not only a technical matter but also a rhetorical practice by means of which external scrutiny is responded to.

The data corpus consists of explanations provided by corporations regarding impairment of goodwill. Data were collected from annual reports from companies quoted on NASDAQ OMX Stockholm, Sweden. The impairment explanations were analyzed according to a taxonomy of account types. The explanations were subjected to close reading to discern the potential rhetorical functions of the different accounts.

Seven account types are identified and discussed, namely, excuse, justification, refocusing, concession, mystification, silence and wordification.

There is a need for further research that explores the process of authorship (i.e. writing, editing, negotiating and revising) through which the texts of financial communication are produced.

The findings have implications for the future formulations of standards regarding qualitative explanations in financial reporting in general and explanations of goodwill impairment in particular.

The paper contributes to the knowledge about the use of natural language and rhetoric in financial communication.

Filtroil had opened a new factory that was a merger between Shenzhen Filtroil and its supplier, Liu Li—whose own factory was on the verge of bankruptcy. But the supplier had begun making excessive demands and threatening to delay product shipment to the United States if his conditions were left unmet. The case reveals the options that could be taken to manage the situation. The case is suitable for use in organizational behavior, human resource management, and strategy classes at the MBA and executive education levels.

The purpose of this article is to numerically investigate the effect of casting speed on the fluid flow, solidification and inclusion motion under the influence of electromagnetic stirring (EMS) in the bloom caster mold with bifurcated submerged entry nozzle (SEN).

The electromagnetic field obtained by solving Maxwell’s equation is coupled with the fluid flow, solidification and discrete phase model using the in-house user-defined functions. An enthalpy porosity approach and Lagrangian approach are applied for the solidification analysis and non-metallic inclusions motion tracking, respectively.

Investigation shows that the casting speed and EMS significantly affect the steel flow, solidification and inclusion behavior inside the mold. Investigations are being conducted into the complex interplay between the induced flow and the SEN’s inertial impinging jet. In low and medium casting speeds, the application of EMS significantly increases the inclusion removal rate. Inclusion removal is studied for its different size and density and further effect of EMS is also reported on cluster formation and distribution of inclusion in the domain.

The model may be used to optimize the process parameter (casting speed and EMS) to improve the casting quality of steel by removing the impurities.

The effect of casting speed on the solidification and inclusion behavior under the influence of time-varying EMS in bloom caster mold with bifurcated nozzle has not been investigated yet. The findings may assist the steelmakers in improving the casting quality.

This study explores how process managers perceive the adoption, use and management of process mining in practice. While research in process mining predominantly focuses on the technical aspects, our work highlights organizational and managerial implications.

We report on a focus group study conducted with process managers from various industries in Central Europe. This setting allowed us to gain diverse and in-depth insights about the needs and expectations of practitioners in relation to the adoption, use and management of process mining.

We find that process managers face four central challenges. These challenges are largely related to four stages; (1) planning and business case calculation, (2) process selection, (3) implementation, and (4) process mining use.

We point to research opportunities in relation to the adoption, use and management of process mining. We suggest that future research should apply interdisciplinary study designs to better understand the managerial and organizational implications of process mining.

The reported challenges have various practical implications at the organizational and managerial level. We explore how existing BPM frameworks can be extended to meet these challenges.

This study is among the first attempts to explore process mining from the perspective of process managers. It clarifies important challenges and points to avenues for future research.

This study aims to assess the relative importance of the argument strength, argument sidedness, writing quality, number of arguments, rated review usefulness, summary review rating and number of reviews in determining the perceived usefulness and credibility of an online review. Additionally, the authors use insights from the elaboration likelihood model (ELM) to explore the effect of consumers' product category involvement on the cues' relative importance.

A conjoint analysis (N = 287) is used to study the relative importance of the seven previously mentioned attributes. A balanced orthogonal design generated eight cards that correspond to individual reviews. Respondents scored all eight cards in a random order for perceived usefulness and credibility.

Overall, argument strength is the most important cue, while summary review rating and the number of reviews are the least important for perceived review usefulness and credibility. The number of arguments is more important for people who are more highly involved with the product, while writing quality and rated review usefulness are relatively more important for the low-involvement group.

This study provides a comprehensive test of how consumers perceive online reviews, as it the first to the authors’ knowledge to simultaneously investigate a large set of cues using conjoint analysis. This method allows for the implicit valuation (utility) of the individual cues, revealing the cues' relative importance, in a setting that comes close to a real-life context. Besides, insights of the ELM are used to understand how the relative importance of cues differs depending on the level of review readers' product category involvement.