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The purpose of the study is to shed light on how to implement Industry 4.0 effectively across companies in buyer–supplier relationships.

The study follows an exploratory research design and analyzes qualitative empirical data of eight case companies from the German automotive industry. The data are inductively categorized to uncover patterns and structures in a qualitative content analysis, whereupon a deeper data structure is developed.

The research reveals that a comprehensive implementation approach is required to pave the way for digitalized and interconnected supply chains. Several challenges occur during the implementation, such as system heterogeneity and resource scarcity. Prerequisites and fundamentals for a successful implementation include a vision and strategy, management involvement, and sufficient resources. Lastly, indications on how to conduct the implementations were found.

The study is based on an exploratory methodology, analyzing data from the German automotive industry. The methodology entails some limitations, and caution must be given when transferring the results to different industries and national contexts. Future studies could complement the findings by studying different contexts and including further supply chain levels.

Managers and practitioners can study the recurring themes in the implementation approaches and the best practices and subsequently learn from the experiences. This knowledge could aid to shape the strategy of companies accordingly.

The study empirically sheds light on the Industry 4.0 implementation approach across companies in buyer–supplier relationships and helps to understand the success factors and underlying mechanisms.

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 purpose of this paper is to examine the influence of institutional investors’ investment horizons (IIIH) on a wide variety of key corporate policies.

The authors perform regression analysis to a panel data set of quarterly financial statement data for US firms over the 1981-2014 using several measures of IIIH.

The authors argue that an increase in the presence of long-term investors contributes to more effective monitoring and information quality. This results in a reduction in agency costs and informational asymmetry problems for firms that are more heavily influenced by long-term investors, which in turn influences the corporate policies they pursue. Consistent with these arguments, the evidence suggests that firms with a greater long-term institutional investor base maintain lower investment outlays, higher dividend payments, lower levels of cash and higher levels of leverage. All results hold after controlling for potential endogeneity issues.

The authors show that a greater presence of long-term institutional investors leads to higher dividends, lower investment outlays, lower cash holdings and higher leverage. The comprehensive nature of the predictions with respect to overall corporate finance policies and the supporting evidence provided represents an important contribution, as previous studies have tended to focus on one specific area of corporate behavior (i.e. such as cash holdings).

Short-term rental option enabled via accommodation sharing platforms is an attractive alternative to conventional long-term rental. The purpose of this study is to compare rental strategies (short-term vs long-term) and explore the main determinants for strategy selection.

Using logistic regression, this study predicts the rental strategy with the highest rate of return for a given property in the City of Philadelphia. The modeling result is then compared with the applied machine learning methods, including random forest, k-nearest neighbor, support vector machine, naïve Bayes and neural networks. The best model is finally selected based on different performance metrics that determine the prediction strength of underlying models.

By analyzing 2,163 properties, the results show that properties with more bedrooms, closer to the historic attractions, in neighborhoods with lower minority rates and higher nightlife vibe are more likely to have a higher return if they are rented out through short-term rental contract. Additionally, the property location is found out to have a significant impact on the selection of the rental strategy, which emphasizes the widely known term of “location, location, location” in the real estate market.

The findings of this study contribute to the literature by determining the neighborhood and property characteristics that make a property more suitable for the short-term rental vs the long-term one. This contribution is extremely important as it facilitates differentiating the short-term rentals from the long-term rentals and would help better understanding the supply-side in the sharing economy-based accommodation market.

This paper aims to examine the monitoring role of institutional investors in corporate decision-making by classifying financial institutions based on geographical proximity and investment horizon from 1980 to 2014.

By using unique data sets on firm and institution location and investor horizon measure (Gaspar et al., 2005), the authors categorize institutional investors into six proximity-horizon classifications. This method captures the heterogeneity of investors. The corporate decisions assessed include firm investment, financing, payout policy, misbehavior, takeover defenses and profitability.

Both geographical proximity and investment horizon are directly related to institutional investors' monitoring cost. As a result, the effectiveness of institutional monitoring may vary based on geographical proximity and investment horizon. This paper collectively examines both dimensions of financial institutions and provides evidence that institutional investors present different preferences for corporate policies. Given stronger information advantage, both local and nonlocal investors that are long-term oriented fulfill better roles in monitoring corporate decisions but from different perspectives.

Different from previous studies that treat institutional investors homogeneously, this paper provides empirical support that investors are indeed different in influencing firm policies.

To the authors’ best knowledge, this is the first study that classifies investors based on two dimensions, geographical proximity and investment horizon, and examines their joint effects on corporate policies. This proximity-horizon classification allows the authors to better disentangle the effects of institutional ownership structure on the monitoring outcomes.

The purpose of this paper is to investigate the effect of equity market misvaluation on manager behavior. Using a sample of 535 French-listed over 2000–2018, the authors analyze whether corporate investment decision is sensitive to equity market overvaluation.

The study adopts market-to-book (M/B) decomposition developed by Rhodes-Kropf and Viswanathan (2004, RKV) that proxies for market misvaluation at the firm and industry levels. The authors conducted a long-term performance analysis via a portfolio sorting procedure and a Carhart (1997) four-factor pricing model. The authors tested the relationship between equity misvaluation, corporate investment decisions and equity issuance. The authors ran several robustness tests.

The empirical results show that equity market misvaluation affects corporate investment positively as the stock price deviates further away from its fundamental. Based on market timing theory, the authors find that corporate investment occurs in periods of high valuation motivated by equity issuance to benefit from the low cost of capital. This effect is more prominent for financially constrained firms. Consistent with the catering channel, the authors find that the misvaluation-investment nexus is more pronounced in firms with short-horizon investors. By examining the stocks’ long-term performance of misvalued firms, via a sorting portfolio procedure, the authors find that undervalued firms outperform and generate higher abnormal returns (Jensen’s alpha) than overvalued firms, suggesting that mispricing-driven investment appear to be short-lived and lead to lower return in the long term.

Corporate decision-makers and governance structures should pay attention to the rationality of the corporate investment decision in the context of equity market misvaluation. Managers who focus on maximizing the stock market value in the short-run at the expense of its long-term performance must give preference to value-creating investment, not driven by an external mechanism such as equity market mispricing. More generally, investors and portfolio managers must take into account the market mispricing process in decision-making. Nonetheless, from the portfolio sorting perspective, decision-makers must act in terms of high governance quality to mitigate suboptimal investment due to stock market mispricing (Jensen, 2005). Finally, equity market overvaluation, leading managers to invest via equity financing in particular, should be a signal to attract investors’ attention to seize the window of opportunity and embark on a short-term portfolio strategy. Such a strategy promises high returns in the short term.

This paper investigates jointly two theoretical channels: equity market timing and catering. The authors propose for the analysis three components of the M/B decomposition to dissociate market misvaluation at the firm and industry level from the fundamental component of market value (growth). This procedure provides a better understanding of the role of firm and industry misvaluation in explaining corporate investments. The authors provide evidence of the equity market misvaluation via a portfolio sorting procedure and a Carhart (1997) four-factor pricing model. The authors examine the effect of misvaluation on both the investment and the financing decisions.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to examine the short-term and long-term wealth effects of two share repurchase motivations.

The authors use a multi-period numerical model and a Monte Carlo simulation. The Monte Carlo simulation introduces uncertainty into firms’ market values and eliminates some restrictions used in the numerical model.

In the long term, firms that refrain from repurchasing overvalued shares outperform otherwise identical firms that do not exhibit such restraint. In the short term, firms that repurchase overvalued shares can outperform firms that refrain from such repurchases. Total returns are a function of misvaluation, the firm’s repurchase decision, the rate of return on invested cash and how long the shares remain misvalued. Share price volatility can influence share repurchase decisions.

The models are incapable of fully modeling the complexities of a dynamic economic environment.

Managers and investors need to be aware of the short-term and long-term effects of share repurchases. Additionally, investors can gain insight into a firm’s share repurchase motivation by observing its cash balances over time.

Share repurchases are a zero-sum game with potentially different short-term and long-term wealth effects.

When studying the wealth effects of share repurchases, it is important to consider the motivations for repurchasing shares as well as the short-term and long-term effects.

This study proposes a novel measure for management’s horizon (short-termism or myopia vs long-termism or hyperopia) derived from easily obtainable firm-level accounting and stock market performance data. The authors use the measure to explore the impact of managements’ horizon on firms’ investment efficiency.

The authors rely on two commonly used but uncorrelated measures of management performance: accounting performance (return on capital employed, ROCE) and stock market performance (average abnormal return, AAR). The authors combine these measures to develop a multidimensional framework for performance, which classifies firms into four groups: efficient (high accounting and high market performance), poor (low accounting and low market performance), myopic (high accounting and low market performance) and hyperopic (low accounting and high market performance). The authors validate this framework and deploy it to explore the relationship between horizon and firms’ investment efficiency.

In validation tests, the authors show that management myopia (hyperopia) explains firms’ decision to cut (grow) research and development investments. Further, as expected, myopic (hyperopic) firms are associated with significantly more (less) accrual and real earnings management. The empirical tests on the link between horizon and investment efficiency suggest that myopic managers cut new investments while their hyperopic counterparts grow the same. Ultimately, the authors find that myopia (hyperopia) exacerbates(mitigates) the over-investment of free cash flow problem.

The authors introduce a framework for assessing management’s horizon using easily obtainable measures of performance. The framework explains inconsistencies in prior empirical research using different measures of performance (accounting versus market). The authors demonstrate its utility by showing that the measure explains decisions around research and development investment, earnings management and firm investments.

This study aims to identify why restaurant firms go public (IPO) despite high financing costs and which factors make firms stay public for the long term after an IPO. Also, this study aimed to link and compare restaurant firms’ pre- and post-IPO accounting information and how IPO proceeds were used.

This study used random-effects regression analysis with a number of dependent variables for a sample of 1,347 unbalanced panel data. In addition, logistic regression analyses were used to identify why restaurant firms were delisted within short periods after going public.

First, rebalancing financial structures was the most important reason for IPOs, whereas financing future growth was only a minor motivation. Second, post-IPO performance significantly differed between restaurant firms based on their pre-IPO financial conditions, as well as how they used IPO proceeds. Third, restaurant firms with low profitability, inefficient non-operating expenses and difficulties in generating revenue increased their financial burdens, which ultimately caused restaurant firms to be delisted within a short period after an IPO. Furthermore, the reasons for merging included cash shortages, large short-term liabilities and increased major operating expenses, together with increases in capital expenditures.

This study is unique, in that it explains the relationships between motivations for going public and post-IPO performances by directly linking the usages of IPO proceeds with firms’ operational performances. To the best of the authors’ knowledge, this study is the first to examine the effects of IPOs on restaurant firms’ operational, non-operational, investment and financial activities on firms’ performances.