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This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/eb014610. When citing the article, please cite: William Copacino, Donald B. Rosenfield, (1985), “Analytic Tools for Strategic Planning”, International Journal of Physical Distribution & Materials Management, Vol. 15 Iss 3 pp. 47 - 61.

Logistics has been receiving increased attention in management literature in the past few years. In particular, logistics has been recognised not only as a group of important functions, but as functions that have important strategic impacts as well. Logistics, as demonstrated by many corporations, can either gain or lose leverage in the marketplace, and more firms are recognising its importance.

In this article the focus is upon analytic tools for strategic logistics planning. We discuss a broad set of tools roughly divided into two areas. One area is that of traditional tools such as functional cost analysis and the various modelling approaches and these are briefly reviewed. Principally, however, the discussion centres on newer tools which have not been as widely used and which can be highly effective for strategic planning and especially for strategic logistics planning. In addition, we will present a framework which outlines the various aspects or approaches for strategic logistics planning and identifies the analytic tools that are available and appropriate for each particular aspect of planning.

In a simulated three‐issue organizational dispute, subjects were interrupted by a third party (their supervisor) who recommended—and eventually imposed—one of five different outcomes. Each outcome provided subjects the same overall payoff, though the arrangement of payoffs across each of the three issues varied. The design allowed us to evaluate four different perspectives regarding negotiators' perceptions of their outcomes. In addition, third parties provided justifications, apologies, or excuses for their actions. Fairness judgments and supervisory evaluations were most favorable when negotiators received an outcome reflecting favorable settlements on the majority of the issues, or the midpoint compromise; the least favorable reactions occurred when subjects received favorable outcomes on only their most important issue. Third parties who offered a justification for their actions were seen as fairer than those offering apologies or excuses. The findings reiterate the importance of considering both the symbolic characteristics of outcomes and the interactional justice inherent in different types of explanations.

This paper explores the role of institutional objects in the constitution of institutional logics. Institutional objects depend for their objectivity on the goods produced through those objects, such as economic models, passports, or sacred texts. The authors theorize institutional logics as grammars of valuation that institutionalize goods through institutional objects. The authors identify four value moments through which goods are objectified: institution, the instituting of a good, a belief and an imagination of its objective goodness; production, how the good is produced, what practices are productive of the good; evaluation, how good is the good, the practices and objects through which worth in terms of that good is determined, and territorialization, the domain of reference of the good, to what objects and practices a good can and does refer in its instantiations. The authors assess the adequacy of our model through an institutional object based on the good of “market value” – i.e., an options pricing model. The authors discuss the implications of these findings for institutional logical theory and the sociology of valuation.

One aspect of attracting new employees that has historically been ignored by recruitment researchers is salary negotiations. In this study, we used a hypothetical scenario design to depict salary negotiation experiences in which we varied the levels of salary offer, the behavior of a company and its representative, and the deadlines for receiving a signing bonus. MBA students served as study participants who read the scenarios and responded to questions about perceived organizational attractiveness and job acceptance decisions—two important recruitment outcomes. As hypothesized, our results indicated that salaries, a company's responsiveness to candidate questions, and a company representative's expression of derogatory comments all impact recruitment outcomes. However, exploding signing bonuses had no significant effects, calling into question the negative connotation practitioners have of exploding compensation schemes. Our justice framework revealed that many of the effects that we found for our manipulations on participants' judgments regarding our recruitment outcomes were mediated by perceptions of organizational justice. Finally, we found some evidence of the frustration effect, as procedures that were considered fair worsened rather than mitigated the negative effects of unfair outcomes on job acceptance decisions.

Emerging thoughts and models in strategic management increasingly involve complex hypotheses at different levels of analysis and multiple sides of relationships. Such complexities often result in less than ideal empirical testing, with the ensuing implications being limited or sometimes even wrong. One such case is global relationship management (GRM). The effective implementation of GRM has been argued to be a principal source of a firm's value creation but the testing of GRM scenarios have been very limited. Using GRM as a case example, we introduce a new methodology to the strategic management literature that alleviates many of the limitations of existing techniques – static triangulation simulation (STS). A series of GRM hypotheses are briefly introduced and then tested via the STS technique. Starting values for the simulation, based on input from companies, are included from two sides of each GRM relationship (customer and supplier) and two levels (company and account) from each side. Such elaborate testing is typically not feasible via “normal” methodology – the STS technique, however, allows for a robust assessment of the different drivers that affect GRM outcomes.

This issue is a selected bibliography covering the subject of leadership.