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Factors of Strategic Investment Decision-Making and its Impact on Financial Performance of the Company

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Factors of Strategic Investment Decision-Making and its Impact on Financial Performance of the Company

 

 

 

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Abstract

This paper examines the different factors of strategic investing decision-making linked with firms’ financial performance in the Pakistani context. The firms and economic indicators, corporate administration, possession structure, capital structure, and hazard the board. Likewise, one of the not very many models endeavors to test different determinants of firm execution in the setting of creating a market (Pakistan). The current investigation looks at the firm’s presentation regarding productivity and its relationship with numerous determinants for 124 firms in Pakistan registered in the Karachi stock trade. The period considered is between June 2017 and September 2019 and endeavors to clarify the watched conduct with the assistance of a fixed impact model. The outcomes reliably bolster the expected relationship between the association’s money related execution and financial pointers, corporate administration, proprietorship structure, and capital structure. However, the force of relationship varies across various proportions of execution. We discover proof on the side of the speculations that a positive affiliation exists between corporate business firms, and risks and execution while blended outcomes are watched for different factors.

Keywords: Pakistani, Survey, Companies, Strategic Investment Decision-making.

 

 

 

 

 

 

 

 

Table of Contents

Abstract………………………………………………………………………………………………………………………….. 2

  1. Introduction……………………………………………………………………………………………………………….. 4

1.1Research Question……………………………………………………………………………………………………… 5

1.2 Hypothesis Development……………………………………………………………………………………………. 5

  1. Literature Review……………………………………………………………………………………………………….. 6

2.1 Strategic Investments Factors………………………………………………………………………………………. 6

2.2 Value-Relevance Literature…………………………………………………………………………………………. 8

2.2.1 Profitability Growth……………………………………………………………………………………………… 8

2.2.2 Revenue Growth…………………………………………………………………………………………………. 9

2.2.3 Equity……………………………………………………………………………………………………………….. 9

2.2.4 Total Assets Growth…………………………………………………………………………………………… 10

2.2.5 Stock Price Development…………………………………………………………………………………….. 10

  1. Data and Methodology………………………………………………………………………………………………….. 11

3.1 Sampling procedure…………………………………………………………………………………………………. 11

3.2 Theoretical underpinnings…………………………………………………………………………………………. 12

3.3 Variable (dependent and independent) that were used in this study……………………………………… 13

  1. Results and Discussion……………………………………………………………………………………………….. 14

3.1 Factors of Strategic Investment decision-making……………………………………………………………. 14

3.2 Impact of SIDM factors on Financial performance………………………………………………………….. 19

Conclusion…………………………………………………………………………………………………………………….. 24

References……………………………………………………………………………………………………………………… 25

 

 

 

 

 

 

1.    Introduction

A strategy is defined as a coherent pattern of far-reaching decisions, which are carried out over space and time, thus influencing both long-term and scope of the organization (Thomson and Baden-Fuller, 2010). Within the framework of decision making, decision-makers give room for consistency in the strategic formulation of investment projects considering ongoing operations integration with future investment projects.

High degrees of risk are involved in strategic investment projects, which involve substantial investments, hence producing hard-to-quantify outcomes that have a significant long-term impact on corporate performance (Van Cauwenbergh et al., 1996; Alkaraan & Northcott, 2006; Papadakis, 1998; Adler, 2000). Characteristic instances include the introduction of new manufacturing approaches, companies’ acquisitions and amalgamations, the invention of modern production lines, major new product lines, full automation and employment of technological practices, and significant shifts in production capabilities. Effective decision-making skills are a prerequisite need for organizations to aid in the achievement of strategic investments that are likely to mark up profitability levels of the firm.

 

The analysis of the results indicates whether the factors of strategic investment decision-making influence profitability growth, equity, stock price development, revenue growth, and total assets growth. This analysis predicts whether the SID choices are value-relevant. Generally, value-relevance and stock market issues have been studied extensively, but lack of information exists in developing countries’ context. Organizations use SIDM approaches in projecting the magnitude of profits they are probably going to gain in a given financial year. Therefore, SID is an important element in the financial operationalization of organizations. The findings obtained from this research study will give us a clear indication on the importance that SID carries in an organization. The research article answers the research question, giving results of a research into the strategic investment decision-making (SIDM) strategies of some Pakistani manufacturing companies by using the findings obtained from the questionnaire feedback from finance managers. Therefore, this study aims to answer the research question of whether different factors of strategic investing decision-making, is linked with firms’ financial performance in the Pakistani context.

1.1Research Question

To project the rationale of the study, the analytical framework and design sought to address the question: “Are different factors of strategic investing decision-making linked with firms’ financial performance in the Pakistani context?”

1.2 Hypothesis Development

With the high level of risk involved in SIDM procedures within organizations, an entity commits to a trajectory of a new strategic direction on investments. Strategic investment decision-making posits the likelihood to advance the corporate financial reports of an organization, basing on the substantial levels of investments that have a possible ripple effect on the long-term success of an entity. There being differences in approaches to investment appraisal techniques, it is implicit that the techniques considered by an organization informs SIDM differently (Northcott & Alkaraan, 2007). Considering the extensive differences of SIDM strategies among organizations, this study sought to evaluate the hypothesis that; strategic investment approaches do not influence firms’ performance in the Pakistan context.

2.      Literature Review

2.1 Strategic Investments Factors

 

This study emphasizes on the SIDM spatial forms of essential speculation choices. These include; obtaining another organization, a merger with another organization, a considerable increment underway limit; the presentation of electronically incorporated activities; the presentation of modernized creation forms; and the improvement of on a very basic level new product offerings; and the presentation of electronic business abilities.

Assessment of earlier studies on SIDM provides insightful, relevant elements that have been proposed as likely effects on how dynamic procedures are molded. Initially, a bunch of studies have inspected the connection between the sort of speculation choice being made and the scope of SIDM process measurements (Romelaer, 2002). A conspicuous finding is the predominant job of choice sort attributes in deciding SIDM forms. Second, since critical venture choices are made with inadequate data under questionable conditions, it has been contended that the degree of choice vulnerability is a crucial effect on the dynamic procedure components. A few creators contend that the nearness of choice vulnerability may be relied upon to build the procedural discernment of choices. More noteworthy data chasing an increasingly modern monetary investigation will be seen as essential.

Dean and Sharfman (2015) inspected 60 critical choices in 20 firms and presumed that high choice vulnerability was adversely identified with procedural soundness in vital dynamics. Along these lines, earlier discoveries on this issue are uncertain.  For quite some time, it has been noticed that organizations choose venture ventures, for example, the presentation of on a very basic level novel product offerings, a union with other organizations, or the making of new, differentiated organizations – because of their crucial goal (Rasheed et al., 2018; Ishfaq & Anjum, 2015; Zulfiqar Ali Shah, 2009; Sajid et al., 2016; Verbeeten, 2006). It is commonly accepted that an association’s key targets manage its SIDM forms and characterize the limits and boundaries against which capital speculations are assessed. This way, while budgetary angles stay a focal worry in speculation dynamic (Kannadhasan & Nandagopal, 2010), progressively abstract vital measures. For example, quality, showcase initiative, essential fit, development, or organization picture – have been distinguished as a third critical factor affecting these choices. Thus, a firm’s vital destinations ought to be inspected as a possibly significant logical aspect in molding SIDM.

Different investigators have examined a fourth relationship – the connection amongst firm execution and the soundness of venture dynamics. Some have contended that prevalent firm presentation brings down the force with which associations scan for and dissect data. At the same time, lower execution makes more strain to use sound judgment, implying that the exhibition is contrarily identified with normal dynamic (Papadakis, 2006). Others guarantee that a constructive association exists between past execution and choice reasonability (Van Cauwenbergh et al., 1996; Alkaraan & Northcott, 2006; Papadakis, 1998; Adler, 2000), for instance, give proof to help the presence of a noteworthy connection between corporate executives and critical dynamic procedures. This apparent irregularity inside the earlier exploration of how firm execution and SIDM forms sway each other focuses on the requirement for additional observational assessment of this relationship (Ansio, 2010). Likewise, since “execution” thoughts can be multi-faceted and contending, it appears to be fitting to widen the execution assessment to incorporate the two its monetary and non-money related viewpoints and measures.

Further, others have discovered no distinctions in key dynamic systems that could be ascribed to measure. These clashing discoveries highlight the requirement for additional exact assessment of the connection between firm size and SIDM forms measurements. Researchers have analyzed the connection between senior administration socioeconomics, and essential dynamic procedures. This research study presents blended outcomes, in any case. For instance, Hunjra et al. (2012) opined that administrators’ experiences probably not impact the authoritative issue definition process. Others have proposed that ranking director qualities –, for example, instruction and hazard penchant – do impact SIDM forms.

2.2 Value-Relevance Literature

In this research, the components of SIDM join four factors estimating the procedural judiciousness of SIDM forms, which together clarify percent of the fluctuation.

2.2.1 Profitability Growth

 

            This research component accepts that critical location for business venture extends that will bolster the acknowledgment of hierarchical key objectives. Speculation might be pointed, for instance, at expanding creation limit, improving effectiveness, presenting an in a general sense new product offering, obtaining another organization, or converging with another organization (Zulfiqar Ali Shah, 2009). For each situation, there will probably be various measures against which the choices will be surveyed. As indicated by Alkaraan and Northcott (2013), a significant part of the real dynamic happens outside proper arranging frameworks, as key purpose manages the procedures of SIDM. Reliable with the methodology detailing measurement, SIDM is a top administration right, and ranking directors will support coordinating their desires and instinct (Zulfiqar Ali Shah, 2009; Sajid et al., 2016; Verbeeten, 2006).

2.2.2 Revenue Growth

Further, a methodology detailing point of view recommends that leaders support speculation ventures they see as steady with hierarchical technique, even though these activities’ procedure propelling components might be equivocal, not very notable, and hard to join into income forecasts (Alkaraan & Northcott, 2013). Thus, a venture’s apparent fit with authoritative methodology and senior administration desires might be more significant than its evident monetary returns. This second component of SIDM joins three factors estimating the system plan parts of SIDM forms, which clarify 40 percent of the change.

2.2.3 Equity

The view that the companies are equitable frameworks has been tended to by various research (Baker et al., 2010; Boedeker et al., 2011; Bryman & Cramer, 2001; Arnold & Hatzopoulos, 2000; Chen, 2008; Elbanna & Child, 2007). The contention that SIDM forms are affected by the utilization of intensity among dynamic gathering organizations (Elbanna & Naguib, 2009; Baker et al., 2010; Boedeker et al., 2011; Bryman & Cramer, 2001; Arnold & Hatzopoulos, 2000; Chen, 2008; Elbanna & Child, 2007; Carr et al., 2010) investigated the procedures and practices of administrators occupied with capital speculation choices. They found out that, during this procedure, various interests will get included, each pushing a perspective. Settling on a choice in an association becomes, at long last, an issue for haggling between these interests.

2.2.4 Total Assets Growth

Management in organizations may share a few objectives may likewise have clashes that come about because of contrasting hierarchical positions and conflicts in close to home objectives and interests (Baker et al., 2010; Boedeker et al., 2011; Bryman & Cramer, 2001; Arnold & Hatzopoulos, 2000; Chen, 2008; Elbanna & Child, 2007). Therefore, equitable procedures may present imperatives on conceivable SIDM arrangements (Carr et al., 2010). Directors in various positions may have a different impression of the rules to be utilized in assessing vital venture ventures. The general intensity of authoritative on-screen characters – for example, their ability to influence authoritative outcomes (Alkaraan & Northcott (2013) – is a significant expected effect on SIDM, along these lines. Further, it has been proposed that, while successful choices must be founded on authoritative objectives, equitable choice procedures that are not arranged toward hierarchical objectives are probably not going to be founded on complete and precise data (Alkaraan & Northcott, 2007; Alkaraan & Northcott, 2013).

2.2.5 Stock Price Development

This third element of SIDM consolidates two factors estimating the stock price development of SIDM forms, which together clarify 11.92 percent of the difference.

Having recognized the most critical components of SIDM forms from the review results and

affirmed their pertinence from the dynamic research, the following stage was to analyze, by methods for relapse models, the connections between these SIDM procedure measurements, and the logical factors.

3. Data and Methodology

3.1 Sampling procedure

A survey was conducted in Pakistani listed manufacturing companies during March–June 2018. The survey was conducted via personal visits to companies’ head offices, and email invitation request was sent. The total of 190 companies was approached from 142 companies responded from which 128 were valid responses. So, the response rate was 67.36%. All the participants were directly engaged in the strategic decision-making process. As were on key posts of the companies, like Chief Financial Officer (CFO), General Manager (GM), Management Accountant (MA), Accounts Manager (AM), and Finance Manager (FM). Further, an analysis was made about the financial performance indicators based on financial statement data; change figures were obtained from 2017 and 2018. Data related gross revenue variations, Net profit fluctuations, equity changes, and overall asset changes were taken from annual reports of the companies. Finally, to view the market changes, the stock market price change from July 2017 to September 2019 was taken as a key variable.

Respondents answered the questions in the survey questionnaire using the likert scale values from 1 to 5 (1 = strongly disagree to 5 = strongly agree). The survey data were first analyzed by using the SPSS 24 for correlation, but also for exploratory factor analysis (EFA) used to find out the investing styles of the companies related to strategic investments. The analysis suggested four styles of investing by the factor regression. But Amos graphics 26 software were used to visualize and analyze the links further.

3.2 Theoretical underpinnings

The study is anchored on the decision-making theory, which is regarded as human behavior as they are opportunistic and goal-oriented in the face of options (Sven Ove, 2005). Below is a tested conceptual framework showing interactions of both dependent and independent variables as used in the study.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The factors of SID are considered to be relatively stable in companies and therefore the relatively short analysis period (the stock price change was analyzed based on a time frame of July 2017 to September 2019) can be seen as indicating the general trend even if SID time horizon is sometimes longer.

3.3 Variable (dependent and independent) that were used in this study

  1. Dependent Variables
VariableDefinition
Probability Growth Rate (PGR)Ratio of difference of net profit 2017 & 2018 to net profit 2017
Revenue Growth Rate (RGR)Ratio of difference of sales 2017 & 2017 to sales 2017
Total Assets Growth Rate (TAGR)Ratio of Assets growth with time
Equity Growth Rate (EGR)An asset/equity growth with time
Share Price Growth (SPG)The growth June 2017 to September 2019

 

  1. Independent Variables
VariableExplanation
Strategic Planning (F1)Strategies divided into sections; a, b, c, l and n
Involvement of Managers (F2)Managers sections; e, f, and g
Financial Analysis (F3)Finance sections; h, i and k
Involvement of top Managers (F4)Top managers sections; d, j and m

 

The sections for the independent variables included in the SPSS pattern matrix:

  • Strategic investment decisions emerge through the formal planning processes of your firm.
  • Strategic investment decisions derive from an explicit corporate strategy.
  • We have formal procedures for evaluating strategic investment decisions.
  • A strategic investment proposal whose expected financial return meets the minimum requirement of return can be rejected if it does not fit with the firm’s competitive strategy.
  • A strategic investment proposal who’s expected returns fall below the required level can still be accepted for strategic reasons.
  • Lower-level managers in the organization are involved in the strategic investment decision.
  • Strategic investment decisions are influenced by the relative power of various managers in the firm.
  • Negotiations among managers in the firm influence strategic investment decisions.
  • Financial evaluation techniques are often used in the early analysis of the strategic investment.
  • Financial evaluation techniques are often used in the final choice of strategic investment.
  • A strategic investment proposal will be rejected if its expected financial return does not meet the minimum investment requirement.
  • Investment opportunities are identified and proposed by top management.
  • The evaluation of strategic investment is left to the judgment top management.
  • A strategic investment proposal whose expected financial return meets the minimum requirement of return on investment can be rejected if it does not

3.      Results and Discussion

3.1 Factors of Strategic Investment decision-making

Decision uncertainty. Utilization of hazard investigation procedures is analyzed as a pointer of the apparent degree of choice vulnerability encompassing an essential venture—the company investment goals. The information was gathered on a scope of hierarchical goals that could impact SIDM forms, including productivity, effectiveness, development, investor riches, usage of assets, financial worth included, showcase initiative, mechanical administration, and endurance.

Non-financial performance measures. Information was gathered on the apparent significance of the accompanying non-budgetary measures, recognized in this research study as impacting SIDM: enhancements in organization picture, reliability with corporate methodology, meeting the prerequisites of clients, staying aware of rivalry, accomplishing more prominent assembling adaptability, encouraging future development, improving the quality and unwavering quality of yields, lessening lead-times, decreasing stock levels, and picking up involvement in innovation.

Financial measures of performance. Inspect of the impact of three normally utilized budgetary execution quantifies on SIDM determines: Overall Net revenue, return on resources; and profit for value.

Size of the company under analysis. This examination looks at the connection between firm size and SIDM forms. A few specialists have pushed utilizing the number of workers as an intermediary for firm size. Others have upheld the utilization of network resources or revenue or a mix of measures. This examination consolidates three proportions of firm size: number of workers, turnover, and all the resources.

Demographic characteristics of decision-makers. The earlier examination has flagged the reasonable impact of top administration attributes on SIDM. A significant factor, topmost administration’s expert foundation, for example, regardless of whether they are from a bookkeeping/fund, different business, building, tasks, arithmetic, science, or sociology foundation, is remembered for this examination to analyze its effect on SIDM processes.

 

Table 1: Factor loadings of SIDM styles (SPSS pattern matrix)

VariableStrategic planningInvolvement of managersFinancial AnalysisInvolvement of top ManagersCommunality
SI proposal whose expected financial return meets the minimum requirement of return on investment can be rejected if it does not0.7810.686
SI decisions are influenced by the relative power of various managers in the firm.0.7650.657
Lower level managers in the organization are involved in SI decision0.7020.544
SI decisions are influenced by negotiations among managers in the firm0.5450.5420.633
SI decisions derive from an explicit corporate strategy0.8240.696
Existence of formal procedures for evaluating SI decision0.3570.7780.734
SI decisions emerge through the formal planning processes of your firm0.6320.4240.638
Financial evaluation techniques are often used in the early analysis of SI0.5190.4660.507
Evaluation of SI is left to the judgment top management0.8530.786
Investment opportunities are identified and proposed by top management0.8010.676
SI proposal rejected if its expected financial return does not meet the minimum requirement of return on investment0.3200.420-0.3670.454
SI proposal who’s expected returns fall below the required level can still be accepted for strategic reasons0.7250.636
SI proposal whose expected financial return meets the minimum requirement of return is rejected if it doesn’t fit the firm’s competitive strategy0.574-0.6620.783
Financial evaluation techniques are often used in the final choice of strategic investment0.5840.384
Eigen values2.6532.4682.0891.602
Proportion of variance explained (%)18.9517.63214.92311.443
Kaiser Meyer Olkin Measure of sampling adequacy (MSA)0.568
Bartlett’s Test of Sphericity (Chi-Square)654.936 ***
(Number of degrees of freedom)(91)

Note: SI – Strategic investment

Factors extracted through principal component analysis, Varimax rotation with Kaiser normalization; converged in 6 iterations

Source:   Survey data 2018

 

Table 1 shows the results of principal component analysis (PCA) on the SIDM styles. Kaiser-Meyer-Olkin, a measure of sampling adequacy, was 0.568. This is above the recommended threshold of 0.5, indicating the suitability of the model in yielding reliable and definite factors (Everitt and Horthorn, 2011; Field, 2013). Variable loadings were censored to retain values greater than 0.3 in the pattern matrices (Stevens, 2002). Bartlett’s test of sphericity was significant at 1 percent (p<0.01). To ensure the absence of correlation between the SIDM styles obtained from the variable loadings, varimax rotation (orthogonal rotation) strategy was used.

Considering the Kaiser’s normalization criteria, four SIDM styles got retained, accounting for approximately 63% of the variance in the original variables. The retained components had eigen values greater than one (Figure 1). A proportion of variance explained each factor obtained (SIDM style). The proportion of variance explained by strategic planning (F1) was 18.95% of total the total variance, the involvement of managers (F2) explained 17.32% variance not explained by F1, while financial analysis (F3) and involvement of top managers (F4) accounted for 14.92% and 11.44% respectively of the total variance.

Figure 1: Eigen values retained at y>1

The SIDM strategic planning (F1) was well described by five main variables that loaded heavily. Firms perceived that financial returns not satisfying the least requirement of return on investment (ROI) for a strategic investment (SI) proposal and are not in tandem with a firm’s competitive strategy, have a higher likelihood of being rejected. Results (Table 1) also posits that the levels of management within a firm’s organogram poses a significant influence on strategic planning (F1). Markedly, SI decisions were found to be influenced by line managers’ respective capacities with varying degrees of authority. Moreover, as consultations and forecasting are prerequisites for strategic planning, it was explicit that managers’ negotiations certainly influence SI decisions adopted in an organization.

Five variables loaded high in explaining the factor involvement of managers (F2). It was apparent that explicit corporate strategies are considered when conceptualizing SI decisions as they provide for a basis through which the decisions are evaluated. Moreover, while firms aim to make SI decisions, line managers are shown to influence the decisions adopted. However, the SI decisions made by firm’s are required to go through the formal planning processes. While considering the planning process, financial evaluation techniques are a prerequisite during the inception stages of SI.

The factor financial analysis (F3) described from the sampled firms showed that the top management of the firms was solely responsible for assessing strategic investment decisions. This succeeds the initial stage of identification and proposing of investment opportunities, which is incepted by the top management of the firms. For smooth transition through the SIDM, results indicate that reliance on financial assessment techniques is essential in the SI investigation’s primary stages. Nonetheless, the formal planning processes are the basic channels through which the firm’s SI decisions emerge.

The involvement of top managers (F4) within firms as a SIDM factor, was described by three variables that loaded highly. Sampled firms through the top management indicated the high likelihood of pursuing a SI proposal to complete implementation, despite the expected ROI falls below the required level. Moreover, it was noted that when the top management is involved in SIDM, there existed a low likelihood to reject the proposal based on lower ROI and the ROI not fitting a firm’s competitive strategy. This trend could probably be attributed to a firm’s aim to exploit its competitive advantage within an industry. The top management is highly involved in making high-risk decisions. This enables firms to always leverage on their competitive advantage within an industry, to enable stay afloat within a highly competitive industry. Despite the strategic positioning of firms, financial appraisal procedures are often relied on to make competitive strategic decisions through the involvement of top managers.

3.2 Impact of SIDM factors on Financial performance

Five parameters were considered in indicating the financial performance of sampled firms. These included; Probability Growth Rate (PGR), Revenue Growth Rate (RGR), Total Assets Growth Rate (TAGR), Equity Growth Rate (EGR), and Share Price Growth Rate (SPGR). Tables 2, 3, 4, and 5 show results on the influence that the four SIDM factors have on every parameter index on financial performance. Overall, it is noted that the R2 values in all forms of regressions, both linear and lagged variables are lower below 50 % (Greene, 2000). Data collected on a Likert scale is influenced by respondents’ attitudes on the subject matter, behavior, and actions. Therefore, obtaining such low R2 values is a good indication as the stated above human aspects affects the respondent’s perception of the subject matter responses (Pindyck & Rubinfeld, 1991; Nunes 2002).

Tables 2 and 3 show that the involvement of managers (F2) posited a significant positive impact at (p<0.1) and (p<0.05), respectively on the ratio of revenue growth (RGR). This is essential as it was evident from Table 1 that the formal SI decisions derive from a clear-cut corporate strategy, which is influenced by managers within a firm. Moreover, the financial decisions which ultimately impact financial performance do arise through a planning process that incorporates financial evaluation techniques. This has an explicit indication that F2 plays an important role in the revenue growth ratio of firms.

Table 2: Level-level regression output of SIDM factors influence on financial performance

Independent variablesPGRRGRTAGREGRSPGR
Strategic planning (F1)0.266 (1.118)0.162 (-1.408)0.871 (-0.162)0.817 (-0.232)0.468 (-0.728)
Involvement of managers (F2)0.200 (1.289)0.060 (1.901) *0.397 (0.851)0.193 (-1.308)0.825 (0.221)
Financial Analysis (F3)0.968 (0.040)0.108 (-1.620)0.384 (-0.873)0.588 (0.543)0.618 (-0.499)
Involvement of top managers (F4)0.619 (0.499)0.694 (-0.394)0.164 (-1.402)0.042 (-2.058)0.397 (-0.850)
Constant0.701 (-0.386)0.071 (1.820) *0.026 (2.258) **0.040 (2.081)0.123 (-1.554)
R20.0220.0500.0330.0470.014
Adjusted R2-0.0110.0180.0010.014-0.019

Note: *** p<0.01, ** p<0.05, * p<0.1 (denote significance at 1, 5 and 10 percent respectively);

(t-statistic appear in parentheses); PGR, RGR, TAGR, EGR & SPGR are described in section 3.3

Table 3 shows that the involvement of top managers (F4) is essential in the advancement of equity growth ratio (EGR). Top managers are often bestowed the responsibility of safeguarding the interests of shareholders. Taking this into consideration, they are thus required to ensure the overtime increase in a firm’s equity pool, thus cushioning firms from liabilities. Moreover, the analysis of variance (ANOVA) for the EGR regression was statistically significant at (p<0.1), implying the magnitude of influence that F4 has on EGR. Both strategic management (F1) and financial analysis (F3) posits a significant positive influence on revenue growth ratio (RGR) at (p<0.1). The two SIDM factors prove as critical both as firms strongly perceived that ROI and management aspects are key while considering the strategic planning factor. In contrast, managers’ identification of opportunities and their evaluation are key aspects considered in the financial analysis geared towards achieving a sustainable revenue growth ratio.

Table 3: Linear-log regression output of SIDM factors influence on financial performance

Independent variablesPGRRGRTAGREGRSPGR
Strategic planning (F1)0.310 (1.020)0.067 (-1.850) *0.775 (-0.286)0.899 (-0.127)0.270 (-1.108)
Involvement of managers (F2)0.209 (-1.263)0.028 (2.229) **0.392 (0.859)0.131 (-1.520)0.694 (0.394)
Financial Analysis (F3)0.832 (0.212)0.096 (-1.677) *0.245 (-1.168)0.744 (0.327)0.433 (-0.787)
Involvement of top managers (F4)0.773 (0.298)0.880 (-0.152)0.208 (-1.265)0.021 (-2.336) **0.584 (-0.550)
Constant0.697 (-0.391)0.064 (1.868) *0.012 (2.539) **0.011 (2.587) **0.179 (-1.352)
R20.0180.0540.0350.0670.019
Adjusted R2-0.0150.0220.0030.035-0.014

Note: *** p<0.01, ** p<0.05, * p<0.1 (denote significance at 1, 5 and 10 percent respectively);

(t-statistic appear in parentheses); PGR, RGR, TAGR, EGR & SPGR are described in section 3.3

Table 4 and 5 shows the impact of Strategic planning (F1) and Involvement of managers (F2) on share price growth rate (SPGR), both at (p<0.1). Both F1 and F2 SIDM factors plays a critical role in a firm’s competitive strategy, as they are involved in strategy investment decisions of a firm in determining the existing stock prices which ultimately influence future stock prices. Competitive strategic share prices within a firm in an industry increases its financial robustness thus advancing is share price growth over time.

Table 4: Log-log regression output of SIDM factors influence on financial performance

Independent variablesPGRRGRTAGREGRSPGR
Strategic planning (F1)0.163 (1.410)0.885 (-0.145)0.256 (1.143)0.455 (0.750)0.061 (2.923) *
Involvement of managers (F2)0.317 (-1.007)0.820 (0.228)0.361 (-0.918)0.637 (-0.474)0.065 (-2.860) *
Financial Analysis (F3)0.876 (0.156)0.978 (0.027)0.801 (-0.253)0.533 (-0.626)0.115 (2.198)
Involvement of top managers (F4)0.928 (-0.091)0.831 (-0.241)0.210 (-1.262)0.550 (-0.600)0.890 (-0.150)
Constant0.199 (-1.296)0.004 (-2.929) ***0.015 (-2.482) **0.109 (-1.621)0.058 (-2.999) *
R20.0270.0020.0330.0190.751
Adjusted R2-0.025-0.042-0.008-0.0260.419

Note: *** p<0.01, ** p<0.05, * p<0.1 (denote significance at 1, 5 and 10 percent respectively);

(t-statistic appear in parentheses); PGR, RGR, TAGR, EGR & SPGR are described in section 3.3

Table 5: Log-linear regression output of SIDM factors influence on financial performance

Independent variablesPGRRGRTAGREGRSPGR
Strategic planning (F1)0.050(1.993) **0.598 (-0.529)0.323 (0.993)0.592 (0.538)0.064 (2.879) *
Involvement of managers (F2)0.337 (-0.967)0.548 (0.603)0.362 (-0.917)0.998 (0.002)0.074 (-2.695) *
Financial Analysis (F3)0.787 (0.271)0.986 (-0.018)0.754 (-0.314)0.609 (-0.513)0.142 (1.982)
Involvement of top managers (F4)0.896 (0.131)0.864 (-0.172)0.150 (-1.452)0.566 (-0.576)0.935 (-0.089)
Constant0.071 (-1.835) *0.004(-2.978) ***0.022(-2.325) **0.67(-1.855) *0.056(-3.046) *
R20.0510.0060.0360.0130.749
Adjusted R20.001-0.037-0.004-0.0330.415

Note: *** p<0.01, ** p<0.05, * p<0.1 (denote significance at 1, 5 and 10 percent respectively);

(t-statistic appear in parentheses); PGR, RGR, TAGR, EGR & SPGR are described in section 3.3

Lastly, Table 5 shows that strategic planning (F1) has a positive significant effect (p<0.05) on probability growth ratio (PGR). Results from Table 1 shows that strategic planning is a function of management and the ROI expected from financial investment. As a result, to increase the net profits of a firm over time in each and every financial year, strategic planning has to be given due considerations to achieve the break-even point of a firm which ensures a company’s sustainability.

From these findings, it is evident that SIDM is molded by exchanging different measurements, such as procedural levelheadedness, system definition, and total assets (Rehman, 2013). These are also supported by Emmanuel et al. (2010). Leaders in large Pakistani organizations are knowledgeable officials who practice judgment, instinct, and force in their SIDM rehearses. They are not merely technocrats moored on budgetary counts as a part of technical judiciousness.

Moreover, firms looking to advance their SIDM rehearses by changing critical contributions to the procedure should know that every one of the three components of SIDM is formed by a mix of logical variables (Arnold & Hatzopoulos, 2000; Chen, 2008; Elbanna & Child, 2007; Carr et al., 2010). Along these lines, it might be of constrained an incentive to concentrate on transforming one relevant factor, including lower-level supervisors more in SIDM or reconsidering money related standards for venture acknowledgment. Or maybe, a far-reaching outline of the considerable number of components distinguished as forming SIDM is important to coordinate its results.

 

 

 

Conclusion

This examination was drawn on monetary chiefs’ perspectives from Pakistani fabricating firms to recognize the four key parts of SIDM forms. It inspected SIDM forms by the aid of a multivariate investigation. The connection between these measurements, and a blend of a few relevant components, including administrative, authoritative, and choice trademarks, were involved. This paper expected to address a portion of the available research impediments on SIDM practice, which, until now, has would, in general, look at the impacts of individual relevant components in confinement and has created rather confounding and clashing discoveries. The discoveries of this investigation, founded on 2020 information, give a valid “pattern” on which future examinations can draw longitudinal correlations as logical variables vary.

Through broadening this examination’s degree and system, future investigations could likewise add to both hypothesis and training by inspecting how associations use SIDM to adjust their asset assignment forms with their drawn-out objectives and methodologies. Components that could be taken into consideration to include the impact of numerous objective structures inside associations; how parity can be accomplished between the sane, key, and revenue and stock development elements of the dynamic condition; and the general effect of different hierarchical control systems on SIDM forms. Therefore, based on these selected companies’ findings, it is evident that there is a robust association between the investment decision-making factors and the financial performance of an organization.

 

 

 

 

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