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According to behavioral research, aspirations influence a firm's search – exploitive and explorative – for solutions that satisfy a firm's goals. Yet, such goal seeking behavior is adaptive to a firm's past experiences and not to a manager's expectations of its firm's future. A manager's expectations are often explained in terms of their confidence in future events. The purpose of this study is to address the following research question: how does a manager's confidence influence its expectations of a firm's future performance and goals; and how do these future expectations influence a firm's exploitive/explorative search?

In drawing on cognition and legitimacy research, a conceptual model was developed to explain the antecedents and outcomes of a firm's “forward-looking” aspirations. The antecedents to a firm's forward-looking aspirations are attributed to a manager's overconfidence – anchoring, confirmation and availability – biases. In using strategic legitimacy explanations, these biases introduce distinct types of forward-looking (exploitive/explorative) search that legitimize/de-legitimize a manager's forward-looking aspirations.

A key finding of this study is that it introduces a strategic decision-making process in which a firm's exploitive/ explorative search is adaptive toward its forward-looking aspirations.

This forward-looking strategic decision-making process offers research implications to understand how a firm's future goals and expectations can offer new understandings of their past experiences and traditions and explains how a manager's overconfidence biases can influence the assessment of a firm's social aspirational groups.

In addition, this study also offers practical implications in which illustrative examples are used to explain this study's forward-looking strategic decision-making process.

A distinct contribution of this study is that it introduces a forward-looking orientation that has not been previously examined the backward focus of behavioral research.

The purpose of this paper is to provide an understanding of how backward intelligence and forward-looking intelligence interact and impact decision making in the context of acquisitions. Past experiences provide essential information used for decision making, however, the ex ante nature of premiums, which require forward-looking intelligence, can change how experience is utilized.

The authors utilize a fixed effects model to examine acquisitions conducted by US public firms during the period of 1993–2015.

The authors find that as past acquisition returns increase, acquirers are likely to adopt a backward-looking perspective of past performance that leads to higher premiums, as opposed to a forward-looking perspective of consequences. The relationship between past performance and premium is moderated by differences in the target's industry and the target's slack levels relative to the acquirer. The study findings suggest that forward-looking intelligence can alter attention and ultimately behavior based on backward-looking intelligence. By focusing on how these two contrasting perspectives interact, our findings extend research on the tension between backward-looking and forward-looking logics of decision making.

Unlike extant literature of acquisition premiums that have mainly focused on the valence and magnitude of experience, the authors focus on how backward-looking decision behavior changes when the firm's expectations of the future are incorporated. The authors empirically demonstrate how a lower acquisition premium is achieved when the decision of how much to pay is an interaction of the past and the future.

This chapter analyzes the empirical relationship between the pricesetting/consumption behavior and the sources of persistence in inflation and output. First, a small-scale New-Keynesian model (NKM) is examined using the method of moment and maximum likelihood estimators with US data from 1960 to 2007. Then a formal test is used to compare the fit of two competing specifications in the New-Keynesian Phillips Curve (NKPC) and the IS equation, that is, backward- and forward-looking behavior. Accordingly, the inclusion of a lagged term in the NKPC and the IS equation improves the fit of the model while offsetting the influence of inherited and extrinsic persistence; it is shown that intrinsic persistence plays a major role in approximating inflation and output dynamics for the Great Inflation period. However, the null hypothesis cannot be rejected at the 5% level for the Great Moderation period, that is, the NKM with purely forward-looking behavior and its hybrid variant are equivalent. Monte Carlo experiments investigate the validity of chosen moment conditions and the finite sample properties of the chosen estimation methods. Finally, the empirical performance of the formal test is discussed along the lines of the Akaike's and the Bayesian information criterion.

The purpose of this paper is to test forward-looking incentives against backward-looking incentives.

Wage growth model to estimate forward-looking effects of unpaid overtime and a probit model of participation in unpaid overtime controlling for excessive pay to estimate backward-looking effects. The authors use data form the OSA labour supply panel (years 1994, 1996 and 1998).

The importance of backward-looking incentives is demonstrated in an empirical analysis of participation in unpaid overtime. The authors show that employees who have relatively good wages now or who have had relatively good wages in the recent past participate more often in unpaid overtime. The authors also show that participation in unpaid overtime does not lead to extra wage growth.

These results imply that involvement in unpaid overtime is to be explained from backward-looking incentives, not from forward-looking incentives. The paper concludes that backward-looking incentives deserve more attention in the economic literature, especially as they are well-accepted as work motivation devices by employees. Limitations are the length of the panel study (four years) and the fact that the data are restricted to one country (the Netherlands).

Personnel policies should focus more on the intrinsic motivation of personnel rather than on extrinsic motivation.

This is the first paper to test both forward- and backward-looking incentives simultaneously.

The purpose of this paper is to estimate the effectiveness of the credit evaluation system using the borrowing data from China’s leading P2P lending platform, Renrendai.com.

The current credit valuation systems are classified into the forward-looking mechanism, which judges the borrowers’ credit levels based on their uploaded information, and the backward-looking mechanism, which judges the borrowers’ credit levels based on their historical repayment performance. Probit models and Tobit models are used to examine the effectiveness of credit evaluation mechanisms.

The results show that only the “hard” information reflecting borrowers’ credit ability can explain the default risk on the platform under the forward-looking credit evaluation mechanism. The backward-looking credit evaluation mechanism (BCEM) based on the repeated borrowings produces both promise-enhancing and “fishing” incentives and thus fails to explain the default risk, and weakens the effectiveness of forward-looking credit indicators in explaining the default risk because it encourages borrowers to invest in forging forward-looking credit indicators. Additional information such as the interest rate and the repayment periods reveals borrowers’ credit and thus can also be used as a predictor of borrowers’ default risk.

The findings suggest that current ex ante screening based on the information collected from the borrowers or repeated borrowings is inadequate to control the default risk in P2P lending markets and thus needs be improved. Ex post monitoring and sharing on defaulter’s information should be strengthened to increase the default cost and thus to deter potential bad borrowers.

To the authors’ knowledge, this is the first paper classifying the credit evaluation system in online P2P lending market into the forward-looking type and the backward-looking type, which is important since they provide different incentives to borrowers. The paper also investigates and provides evidence on the promise-enhancing and “fishing” incentives of BCEMs.

The effect of customers’ forward-looking behavior on firms’ profit has been highlighted by many researchers and practitioners. This study aims to develop a mathematical model for new generation products to analyze the optimal pricing and advertising policies in the presence of homogeneous forward-looking customers. A firm that produces and sells a new generation product was considered. This firm aimed to determine the optimal pricing and advertising expenditure by maximizing the total profit.

The demand was presented as a diffusion model inspired by the Bass diffusion model. This paper used Pontryagin’s maximum principle to analyze the proposed model. The presented model was implemented in some numerical examples by proposing a heuristic solution method. Numerical examples confirmed the theoretical results.

This paper found a threshold on the optimal advertising policy depends on customers’ forward-looking behavior, advertising coefficient (both direct and word-of-mouth advertising) and discount rate. The funding showed that the optimal pricing path of the first generation was monotonically decreasing or increasing and, then, decreasing. Results revealed that, by increasing the customers’ forward-looking behavior, the firm should reduce the price and advertising expenditure. Also, the price was shown to be negatively affected by the discount rate and word-of-mouth advertising. The profitability will improve if the firm spends more budget on advertising by increasing the discount rate and advertising effectiveness. Further, when the word-of-mouth advertising effect is high, the firm should increase the advertising expenditure first and, then, decrease it.

Nowadays, forward-looking customers’ anticipation for releasing a new generation can harm the firms’ profit. In this regard, this research analyzed optimal pricing and advertising policies for a new generation product in a market populated by homogeneous forward-looking customers. To the best of the knowledge, this is the first study that investigated these two marketing policies jointly in the presence of forward-looking customers.

This paper aims to empirically explore the underlying factors that may affect the extent to which forward‐looking information is disclosed.

This study uses a list of forward‐looking keywords to demonstrate the differences, if any, in the level of disclosure among firms and between sectors. The sample includes 46 companies listed in either the Dubai financial market or the Abu Dubai securities market. Statistical analysis is performed using a backward regression.

Debt ratio and profitability are found to be significant; however, sector type, firm size, and auditor size are found to have insignificant association with the level of forward‐looking information disclosed in UAE annual reports.

A number of users, such as investors, lenders, and auditors, may find these results beneficial. These users may consider the results of this study when they are dealing with firms that have low profitability and high financial risk. Accordingly, they may wish to extend their investigations and verify such reporting practices. By doing this, the quality of information that is available to the public may be enhanced; and hence, users of annual reports may be better served.

It is important to note that the association between the extent of disclosure and the selected corporate attributes is still ambiguous. There are a very limited number of studies that have examined disclosure of forward‐looking information in developing countries and even fewer such studies may be found in the Middle Eastern countries. To the best of the one's knowledge, no study yet has examined the forward‐looking information disclosure issues in the UAE or Middle Eastern countries.

The purpose of this research is to bring upfront some unconventional attributes of inflationary expectations of entrepreneurs. Firm-level attributes are instrumental in shaping the behavior of entrepreneurs, which affect the way in which they form their expectations regarding some key economic variables, like inflation. Inflationary expectations are considered important based on their significant role in affecting decisions taken by individuals, firms and policy makers. Among all economic segments, it is vital to account the inflationary expectations of entrepreneurs representing firms because their decisions critically define the future path of actual inflation and inflation inertia. This basic purpose of this paper is to offer a deterministic framework for these expectations contingent upon the firm-level attributes.

This paper provides survey-based evidence on inflationary expectations of entrepreneurs of the selected manufacturing, trading and service sector firms from Pakistan. Additionally, the study has focused on identifying some firm-level attributes, including market experience of the firm, scale of production, myopia in price setting behavior, forward and backward-looking behavior, rationality of the entrepreneur and the entrepreneur's relative firm-level experience as determinants of these expectations. The specified variables are constructed based on responses captured through a structured questionnaire.

Within an ordinal logistic framework, the study finds that the said attributes including market experience of the firm, scale of production, myopic tendency of entrepreneur in price setting, forward and backward-looking behavior, rationality of the entrepreneur and the entrepreneur's relative firm-level experience play a pivotal role in explaining differentials and heterogeneity in reported level of inflationary expectations.

The study brings upfront some unconventional attributes of inflationary expectations at entrepreneurial level. The work is unique in a sense that it provokes researchers to account behavioral and individualistic attributes within a deterministic framework for inflationary expectations.

Amid growing stakeholder needs, this study aims to assess the effect of boardroom characteristics on the disclosure of forward-looking information by listed firms on the Ghana stock exchange (GSE). Further, it investigates the mediating role of firm size in the relationship between boardroom characteristics and forward-looking information disclosure (FLID).

Using data from the annual reports of a sample of firms on the GSE in 2019 and multiple regression analysis, the effect of boardroom characteristics on the disclosure of forward-looking information is ascertained.

The results depict that board gender diversity, i.e. female representation on the board, is positive and significantly related to firms’ disclosure levels on the GSE. Similarly, board independence and auditor type have a positive and significant relationship with FLID, whereas profitability and financial leverage do not affect disclosure levels. The further analysis depicts that the relationship between board size and FLID is mediated by firm size.

This study’s findings would aid management, market regulators and investors in Ghana and other developing contexts assess mechanisms that would increase FLID among firms to satisfy stakeholders.

This paper focuses on the extent of FLID after the setbacks and subsequent rejuvenation of Ghana’s financial and nonfinancial system. Specifically, this paper adds to the few studies on the African continent that examined the influence of boardroom characteristics on FLID.

This paper aims to examine the nature and extent of forward-looking disclosures in early examples of integrated reporting and to investigate the determinants of those disclosures.

The sample for research involved 55 non-financial companies whose reports are available in the Integrated Reporting Examples Database for the year 2014. The authors used content analysis to investigate the quantitative and qualitative forward-looking disclosures among early adopters of integrated reporting. The forward-looking disclosure index (FLDI) was categorized into two main groups, quantitative and qualitative, including 30 items in total. Multivariate ordinary least squares regression was used to investigate the associations proposed in the research hypotheses.

The authors determined that the majority of the entities tended to provide qualitative forward-looking disclosures rather than quantitative. Further, the findings showed that gender diversity and firm size are positively related to forward-looking disclosures, whereas leverage is negatively related to forward-looking disclosures. Contrary to expectations, the authors did not find a significant impact created by board size, board composition, profitability or industry on forward-looking disclosures.

The research contributes to the current integrated reporting and forward-looking disclosure literature. To the best of the authors’ knowledge, there is no prior study that has investigated forward-looking disclosures in integrated reports. This study contributes to the current literature by examining the determinants of forward-looking disclosures by categorizing them as quantitative and qualitative. Further, this research adds empirical findings to the literature on the association found between female directors and forward-looking disclosures.