MANAGEMENT FROM A NATURAL PERSPECTIVE: DISCOVERING THE MEANING OF FIBONACCI NUMBERS FOR MANAGEMENT [WORK IN PROGRESS] Vlado Dimovski, Ph.D. University of Ljubljana Faculty of Economics Kardeljeva ploščad 17, SI-1000 Ljubljana, Slovenia; Phone: (+386) 1 5892 558 [email protected] Miha Uhan, M.A. University of Ljubljana Faculty of Economics Kardeljeva ploščad 17, SI-1000 Ljubljana, Slovenia; Phone: (+386) 1 5892 689 [email protected] MANAGEMENT FROM A NATURAL PERSPECTIVE: DISCOVERING THE MEANING OF FIBONACCI NUMBERS FOR MANAGEMENT [WORK IN PROGRESS] Abstract: The golden spiral, based on Fibonacci numbers, occurs in plants, seashells, galaxies, and the DNA helix. Golden ratio represents a simplicity of supreme significance, for it spans the largest and smallest of natural phenomena, with human design in between. Human development was therefore intended to match the natural order of the material universe. If managers would be able to organize the businesses according to the golden ratio, the organizations they manage would be able to live "in sync" with the universe, which would contribute to the prosperity of those organizations. This article discusses the possible applications of Fibonacci numbers or golden ratio to management. Keywords: Fibonacci sequence, golden ratio, phyllotaxis, natural design, development, management JEL classification: C00, M00 The ratio is always the same. 1 to 1.618 over and over and over again. Patterns are hidden in plain sight, you just have to know where to look. Things most people see as chaos actually follow settled laws of behavior; galaxies, plants, seashells. The patterns never lie, but only some of us can see how the pieces fit together. Jake Bohm, Touch 1 INTRODUCTION A good hundred years have passed since Frederick Winslow Taylor published his influential monograph The Principles of Scientific Management (1911). It was one of the earliest attempts to apply science to the engineering of processes and to management and a theory of management that analyzed and synthesized workflows, and whose main objective was improving economic efficiency, especially labor productivity, taylorism was later developed based on this and his other works. In our paper we want to shed light on the possible meanings or applications of a mathematical sequence to the science of management. This has to our best knowledge up to date never been done before. We too argue that through this “natural management” some economic benefits can be pursued, but contrary to Taylor, we speak not only of economic efficiency (doing things right), but also of economic effectiveness (doing the right things). We argue that through application of Fibonacci numbers to the management practice, the desired business results can be easier achieved due to the positive effect on the employees and the optimal or “natural” functioning of the organization as a whole. Ian Stewart in his book on the unreal reality of mathematics (1995, p. 127) makes a remark that chaos teaches us that systems obeying simple rules can behave in surprisingly complicated ways, and that it offers important lessons for everybody managers who imagine that tightly controlled companies will automatically run smoothly, politicians who think that legislating against a problem will automatically eliminate it, and scientists who imagine that once they have modeled a system their work is complete. However, he also makes another V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] remark that the world cannot be totally chaotic, otherwise we would not be able to survive in it. In fact, one of the reasons that chaos was not discovered sooner is in his opinion that in many ways our world is simple. Stewart (1995, p. 136) exemplifies this simplicity of our world by the numbers that arise in plants (flowers, pineapples, artichokes etc.) and that display mathematical regularities. They form the beginning of the so-called Fibonacci series: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377,…. Leonardo Fibonacci, in about 1200, invented this series in a problem about the growth of a population of rabbits. It was a very interesting piece of mathematics as it was the first model of its kind and as mathematicians find Fibonacci numbers fascinating and beautiful in their own right. At first sight one may wonder what makes this sequence of numbers so revered. A quick inspection shows that this sequence of numbers can go on infinitely, as it begins with two 1s and continues to get succeeding terms by adding, each time, the last two numbers to get the next number (i.e. 1 + 1 = 2; 1 + 2 = 3; 2 + 3 = 5; and so on). By itself, this is not very impressive. Yet, there are, as Posamentier and Lehman (2007, p. 13) state, no numbers in all of mathematics as ubiquitous as the Fibonacci numbers. 2 THE OCCURENCE OF FIBONACCI NUMBERS The use of Fibonacci numbers and the Golden Mean through-out nature and by man is well established (Bachmann & Bachmann, 1979, p. 73). Fibonacci numbers appear in geometry, algebra, number theory, and many other branches of mathematics. However, even more spectacularly, they appear in nature; for example, the number of spirals of bracts on a pinecone is always a Fibonacci number, and, similarly, the number of spirals of bracts on a pineapple is also a Fibonacci number. The appearances in nature seem boundless. The Fibonacci numbers can be found in connection with the arrangement of branches on various species of trees, as well as in the number of ancestors at every generation of the male bee on its family tree. According to Krebs (2008, p. 185), petals on flowers, seeds on sunflowers (Figure 1), and the ratio of your height to the distance from your belly button to the ground provide for more of the examples. Figure 1: The double spiral pattern of phyllotaxis in a sunflower head Source: Ball (2009, p. 231). 3 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] Fibonacci numbers can also be found in areas of science, which, besides mathematics, include symmetry as a constant in physical laws (e.g. cosmology), fiber optic networks (Dotson et al., 1993), and statistical control of manufacturing systems (Tagaras & Lee, 1988). Günduz (2000, p. 320) even notes that the fractal dimension of the growth of Ottoman Empire is equal to golden number and that the rate of growth of the total area scales with golden number while the area scales with the square of golden number. Fibonacci sequnce even found its way into the world of fassion (Cyranoski, 2002). There is practically no end to where these numbers appear (Posamentier & Lehman, 2007, p. 13). Kramer (1973, p. 112-113) writes: A lore has grown up around Fibonacci numbers, not only because of their many surprising and elegant mathematical properties, but also because they continually appear in the physical world in seemingly unrelated contexts. There is experimental psychological data, for example, that golden mean proportions in cards, mirrors, pictures, etc., (which would be provided by Fibonacci lengths) appeal to our sense of symmetry (Bicknell & Hoggatt, 1969); the Fibonacci series was apparently used to give golden mean proportions in Greek vases and in the poetry of Vergil (Horadam, 1963); it appears in Minoan architecture (Preziosi, 1968) as well as that of the ancient Greeks and in Gothic cathedrals; it was apparently used to determine patterns in mosaic designs in several ancient countries (Moor, 1970); it is found to determine patterns of shell growth (Horadam, 1963) and in phyllotaxis (leaf and petal arrangement) - various types of flowers tend to have on the average Fibonacci numbers of petals, and in trees with spiral arrangements of leaves or branches the Fibonacci series determines the number of rotations before we find a leaf or branch directly above a given one, and there is a tendency for Fibonacci numbers of leaves or branches to be in such spirals, etc. (de Sales McNabb, 1963); the Fibonacci series tends to determine the number of spirals of eyes (fruitlets) in pineapples (Onderdonk, 1970); the series determines the number of ancestors a bee will have (since male bees hatch from unfertilized eggs while female bees come from fertilized eggs) (Basin, 1963); the Fibonacci numbers appear in certain electrical networks (Basin, 1963); Fibonacci numbers are approximated in the structures of atomic and subatomic particles (Huntley, 1969); the ratios of the distances of the moons of Jupiter, Saturn, and Uranus from their parent planets follow Fibonacci (i.e., golden mean) ratios, as do (in a poorer approximation) the distances of the planets, including the asteroid belt, from the sun (Read, 1970); Fibonacci numbers have played a part in the branch of cancer research that attempts to construct a mathematical model for the movement of malignant cells (Blumenson, 1972); the Fibonacci numbers have been useful in water pollution control in determining where best to place sewage treatment plants for cities on the same river (Deininger, 1972); there is some evidence that Fibonacci numbers relate to the number of years in the cycles between peaks and peaks, peaks and lows, lows and peaks, and lows and lows of the stock market (Faulconbridge, 1964); it has even been suggested that Fibonacci numbers are involved in the cycles of the extremes of such diverse events as grasshopper abundance, automobile factory sales, the ratio of male to female conceptions, advertising effectiveness, sunspots, tree ring size, rainfall in India, Nile floods, financial panics, and furniture production (Faulconbridge, 1965). According to Birken and Coon (2008, p. 59), Fibonacci numbers may appear also in the sphere of music. An octave consists of 8 notes and is represented on the piano by 8 keys. If we include sharps and flats, we add 5 black keys to the 8 white keys for a total of 13 keys, often referred to as the chromatic scale. The black keys themselves are positioned in groups of 2 and 3. All the numbers mentioned — 2, 3, 5, 8, and 13 — are Fibonacci Numbers. Another 4 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] example of the occurence of Fibonacci numbers in music are the proportions of the famous Stradivarius violin design (Figure 2). Some authors have found Fibonacci-like patterns or Fibonacci ratios in the works of composers as diverse as Mozart, Beethoven, Bach, Schubert, Debussy, and Bartok (Bachmann & Bachmann, 1979; Birken & Coon, 2008; Kramer, 1973; Locke, 1987); Chopin and Wagner (Posamentier & Lehman, 2007); and Stockhausen, Nono, Bunger, Walker, Schillinger, Eloy, Krenek, and Norden (Kramer, 1973). Golden ratio (dividend of the two consecutive Fibonacci numbers) has been successfully employed by composers mainly in two areas of the compositional process. The first relates to the location of the climax and the second relates to form (Posamentier & Lehman, 2007, p. 272). Figure 2: The distinctive Fibonacci proportions of the Stradivarius violin design Source: Posamentier & Lehmann (2007, p. 291). In poetry, too, occurrences of Fibonacci Numbers are linked to familiar patterns (Birken & Coon, 2008, p. 59). The common limerick is composed of 5 lines with 13 stressed beats. These beats are found in patterns of 2 and 3. Turning from the limerick to more serious poetry, scholars have studied the appearance of the Fibonacci sequence, or ratios of successive Fibonacci Numbers, in epic works including Virgil’s Aeneid, written in the first century B.C.E., and in Dante’s The Divine Comedy, written in the thirteenth century C.E. (Birken & Coon, 2008, p. 60). Also, Hill (2010, p. 166) proposes that key moments in the rhetorical and emotional development of the Old English heroic epic poem, Beowulf, correspond to a Fibonacci sequence, although there is nothing to indicate widespread knowledge of this sequence in Europe prior to the thirteenth century. The rectangle whose sides fit the golden ratio or “phi” (φ) is said to be the “most pleasing” in form of all rectangles (Birken & Coon, 2008, p. 63). Claims have been made that it is found in many architectural examples, from the ancient Parthenon and Great Pyramid of Giza, to the more modern work of Le Corbusier. Close approximations of Golden Rectangles also may exist in painting and sculpture, including works by Leonardo da Vinci, Michelangelo, Georges Seurat, and Piet Mondrian (Birken & Coon, 2008, p. 63), and Dürer, Raphael, Giotto, Boticelli, and Dalí (Posamentier & Lehman, 2007, pp. 258-268). Posamentier and Lehman (2007, p. 231) too agree that the golden ratio seems to be ever present in art and architecture. According to them, perhaps the most famous structure that exhibits the golden rectangle is the Parthenon on the Acropolis in Athens. Spectators have also noted the golden section on Egyptian and Mexican pyramids, Japanese pagodas, and even Stonehenge (cca. 2800 BCE) in England. There is, moreover, speculation that the Arch of Triumph in ancient Rome was built on the basis of the golden ratio (Posamentier & Lehman, 2007, p. 237). Rose (1991) makes an 5 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] interesting remark about the work of his friend Waskom: “He also noted that the Greeks used phi (or the golden mean) all through their arts. He reasoned that if an object were composed of the same proportions as the viewer, it would be perceived as balanced and natural, which is what observers say about Greek creations. To explain this preference, Waskom drew upon Huntley, who suggested that as the eyes view the sides of a golden rectangle, they note a scantime ratio of phi, which is then interpreted as pleasing. Studies have established the aesthetic preference for phi-proportioned objects.” Indeed, Benjafield & Green (1978, p. 25) note that: … over the last century, a large number of experimental investigations have been devoted to determining the psychological properties of the golden section (Zusne, 1970). Fecnhner (1876) provided the first experimental evidence that the golden section is the most pleasing proportion, and current research has tended to confirm Fechner’s findings (e.g. Benjafield, 1976; Segalowitz & Benjafield, 1976). Recently, Benjafield & AdamsWebber (1976) have suggested that the golden section may play an important role in interpersonal as well as in aesthetic judgement. 3 THE MEANING OF FIBONACCI NUMBERS FOR MANAGEMENT There have been some applications of Fibonacci to business sphere in the past, but most of them dealt with predicting the markets in trading (e.g. Boroden, 2008; Brown, 2008; Evans & Sheean, 2005; Fischer, 1993; Greenblat, 2007; Jardine, 2003; Pesavento & Shapiro, 1997), with the most famous one certainly being the Elliot’s influential work named The Wave Principle (1938). Elliot’s waves have further been applied to the field of sociology in 1999, when Prechter published his book The Wave Principle of Human Social Behavior and the New Science of Socionomics, in which he defines the whole new area of science – socionomics. This work was later supplemented by the Pioneering Studies in Socionomics (Prechter, 2003). Maybe the most useful application of Fibonacci numbers for the field of social sciences to date is the unique paradigm of human development developed by John D. Waskom (Rose, 1991), who has sensed the possibility that human development was intended to match the natural order of the material universe. Waskom loved to relate it to the spiral and its occurrence in plants, seashells, galaxies, and the DNA helix. To Waskom, phi was a simplicity of supreme significance, for it spanned the largest and smallest of natural phenomena, with human design in between. When he called attention to the fact that young children unconsciously used phi proportions in their artwork, Waskom was affirming that unspoiled humans possessed a natural genius for living "in sync" with the universe. He sensed that if he could establish a relationship between phi and human psychological growth, he could begin to describe a natural pattern of developmental genius throughout the lifespan (Rose, 1991). What is interesting about the Waskom's paradigm of human development is his interpretation of the sequence or progression of Fibonacci numbers. He saw each Fibonacci number as the beginning point for a new subset or cycle of numbers. Each whole number preceding a Fibonacci number was then the completion point of the previous subset or cycle (Rose, 1991). Visually, this can be represented as in Figure 3. Figure 3: Waskom's interpretation of the sequence or progression of Fibonacci numbers 6 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] End of old cycle: Start of new cycle: 0 1 1 2 3 4 7 12 20 33 54 88 ... 5 8 13 21 34 55 89 ... Source: Rose (1991, p. 6) To illustrate, Waskom pointed out human applications that have become common in our culture. For example, a dozen (12) is considered a complete set and a deck of cards is complete with fifty-four (including the jokers). In music, the octave scale actually has only seven notes, for the eighth is the beginning of a new octave. Likewise, the chromatic scale's thirteenth note begins the next octave. Even the 88-note piano keyboard can be justified (Rose, 1991). According to Rose (1991), using the Fibonacci sequence, Waskom found a natural progression of human development revealing itself. He simply looked at the number chart above and imagined those numbers as ages in a person's life. The numbers in the bottom row would represent age markers for the beginning of cycles or stages of development. The numbers on the top row would represent the end points of each cycle or stage. Practiced eyes in the developmental field will see familiar numbers, numbers which have been traditionally used to mark stages of the life cycle, both physiologically and socially. Thus it could be asserted that the numbers that mark the milestones of human life are the same numbers that express the perfect proportion of nature. Reduced to an assertion of simplicity and unity, under proper conditions design and development are one, since both can be described with the same natural progression. This, then, was to become the premise underlying Waskom's paradigm for thinking about development and learning (Rose, 1991). Applying mathematics and Fibonacci to management science, although it might seem somewhat unusual at first sight, therefore seems as an obvious natural next step. The possible applications of Fibonacci numbers or golden ratio to the management, or broadly put, business sphere are presented below. It is naturally up to individual organizations to figure out how exactly to apply the Fibonacci numbers to their operations. The below possible applications might therefore serve them only as an idea for their own thinking with regard to the organizational design and other important managerial issues. Our presentation of the possible applications of Fibonacci numbers to management is based on the four major management functions, as defined by Daft and Marcic (2006, p. 8) and presented in Figure 4. Figure 4: The Four Management Functions 7 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] Source: Daft & Marcic (2006, p. 8) 3.1 Fibonacci and planning We have identified two examples of application of Fibonacci sequence to the management function of planning – inventory policy optimization (Wagner, O’Hagan & Lundh, 1965) and statistical control of manufacturing systems (Tagaras & Lee, 1988). Other possible applications include (but are not limited to): Business estimating and planning – how to estimate the future profits and how to plan future business accordingly, Investments (when to invest, how much to invest, etc.), Risk management, M&As, MBOs, entry/exit strategies (when to perform a merger, acquisition or an MBO; when to enter or exit a company if you are a venture capital company), Market entries, expansions (when to enter new markets, and how many at the same time), Debt/Equity ratio (it might be that the optimal solution might be close to the Golden Ratio, which is app. 1.618, which would mean that the optimal capital structure for a company would be around 62% debt and 38% capital), Ownership structure (private/public, etc.). 3.2 Fibonacci and organizing The second management function, organizing, is a process that leads to the creation of organization structure, which Daft & Marcic (2006, p. 256) define as (1) the set of formal tasks assigned to individuals and departments; (2) formal reporting relationships, including lines of authority, decision responsibility, number of hierarchical levels, and span of managers’ control; and (3) the design of systems to ensure effective coordination of employees across departments. This second function also deals with the questions such as what is the optimal size of a particular institution. The American Journal of Sociology has published an interesting research by Chapin (1957), who studied the optimum size of the 8 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] institutions. In his article, Chapin took the Fibonacci proportion as a measure of integration, harmonious balance of parts, and equilibrium of structure, and suggested a mathematical model with the logarithmic spiral as the principle of growth. He found out that the optimum size of the two largest subgroups (membership and Sunday-school enrolment) of eighty churches seems to be that particular relative size which approaches most nearly the Fibonacci number series and proportions (0.618). What is also interesting is that although Chapin has performed his study with the eighty Minneapolis churches, the Fibonacci numbers and proportions have, according to him (p. 459) no special applicability to religious institutions but are equally applicable to the study of optimum size of large secular groups. The other possible application of Fibonacci sequence to the management function of organizing includes (but is not limited to) the fluctuation policy (predicting and organizing the human resource needs). 3.3 Fibonacci and leading The possible applications of Fibonacci sequence to the management function of leading include (but are not limited to): Motivation of the employees, Trainings for the employees (when to employ their trainings – in what time intervals), Leadership development (when to start developing the successor), Corporate universities educational design, Promotions (in years 1, 2, 3, 5, 8, 13, 21, …). 3.4 Fibonacci and controlling The possible application of Fibonacci sequence to the management function of controlling includes (but is not limited to): Controlling – when (in what time intervals) to monitor the activites of your employees (after 1, 2, 3, 5, 8, 13 etc. weeks), etc. 4 DISCUSSION AND IMPLICATIONS In his paper, where he utilized the concept of a fractal dimension that characterises the nonlinear growth of very intricate dynamics of biological, chemical, and physical systems to model model the growth of the Ottoman Empire as a social system, Gündüz (2000, pp. 303304) writes: The description of natural events with fractal dimensions is one of the most important concepts of science and has a vast area of applications. After the pioneering work of Mandelbrot (1983) it has been believed that a fractal dimension can be assigned to very complicated events, even to an economy, psychology, and a society. Although the para meters of social events are too many, they can be very well evaluated and successful forecasting can be done in certain cases. The social strategy evaluates the available information usually on a statistical basis and ends up with conclusions about what to do 9 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] in future. In forecasting, the important social parameters, which prevail in future, need to be known. The social parameters more or less have some correspondences with physical parameters. For instance the distribution of national income among the people and the distribution of energy in a stochastic system among particles are analogically similar. The physical world in a broad sense covers the physical principles of the universe and nothing is exempt from it. If the parameters of the social life could be well analysed we could use mathematical tools to achieve precise conclusions about the social life. However the application of mathematics to complex human activities is still at a premature level. If the dynamics underlying social events can be well defined, then it may be possible to set up the mathematical model. 5 LIMITATIONS AND FUTURE RESEARCH OPPORTUNITIES Let us rephrase the Stewart’s (1995, p. 127) thought about the managers’ perception that tightly controlled companies will automatically run smoothly. Not only do managers similarly to the Daoist concept of “wu wei” or non-doing need to be aware that the more control is not necessarily the better, but we might (among other things) even be able to predict in the future how much control is optimal for a smooth running of the organization and exactly when should the managers exercise the control. This is due to the fact that nature is, in its own subtle way, simple, and we can learn a lot, simply by observing and studying it. Benjafield & Green (1978, p. 34) are of opinion that “most research on the golden section has been concerned with whether or not it is, in fact, a preferred proportion (Zusne, 1970)” and that only “few studies have explored cross-cultural and developmental determinants of golden section preferences.” They state that “given the growing evidence for the psychological reality of the golden section, such [cross-cultural and developmental] studies are increasingly appropriate, and should shed light on how preferences for golden section relations arise and are maintained in everyday life.” However, as Freeman (1981, p. 22) warns, the study of the Fibonacci sequence must not become the collection of individual interpretations of the “Rorschab blob”. We want to finish our article with the following quote from Bachmann and Bachmann (1979, p. 73): “Except for an interpretation based on aesthetics, the philosophical meaning of the universe constructed on the Fibonaccian sequence at present eludes researchers, although a dim significance can be ascertained. It is hoped that a pragmatic explanation will become available in the near future through the efforts of philosophers and research scientists.” REFERENCES Bachmann, T. & Bachmann, P.J. (1979). An Analysis of Béla Bartók's Music Through Fibonaccian Numbers and The Golden Mean. The Musical Quarterly, 65 (1), 72-82. Ball, P. (2009). Nature’s Patterns: A Tapestry in Three Parts. Oxford: Oxford University Press. Basin, S.L. (1963). The Fibonacci Sequence as it Appears in Nature. The Fibonacci Quarterly, 1 (1), 53-56. Benjafield, J. & Green, T.R.G. (1978). Golden section relations in interpersonal judgement. British Journal of Psychology, 69 (1), 25-35. 10 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] Bicknell, M. & Hoggatt Jr., V.E. (1969). Golden Triangles, Rectangles, and Cuboids. The Fibonacci Quarterly, 7 (1), 73-91. Birken, M. & Coon, A.C. (2008). Discovering Patterns in Mathematics and Poetry. New York: Rodopi. Blumenson, L.E. (1972). A Characterization of the Fibonacci Numbers Suggested by a Problem Arising in Cancer Research. The Fibonacci Quarterly, 10 (3), 226-264. Boroden, C. (2008). Fibonacci Trading: How to Master the Time and Price Advantage. New York: McGraw-Hill. Brown, C. (2008). Fibonacci Analysis (Bloomberg Market Essentials: Technical Analysis). New York: Bloomberg Press. Chapin, F.S. (1957). The Optimum Size of Institutions: A Theory of the Large Group. American Journal of Sociology, 62 (5), 449-460. Cyranoski, D. (2002). Science in culture. Nature, 418 (6893), 21. Daft, R.L. & Marcic, D. (2006). Understanding Management (5th ed.). Mason, OH: Thomson South-Western. Deininger, R.A. (1972). Fibonacci Numbers and Water Pollution Control. The Fibonacci Quarterly, 10 (3), 299-300, 302. de Sales McNabb, Sister M. (1963). Phyllotaxis. The Fibonacci Quarterly, 1 (4), 57-60. Dotson, W., Norwood, F. & Taylor, C. (1993). Fiber Optics and Fibonacci. Mathematics Magazine, 66 (3), 167-174 Evans, L. & Sheean, O. (2005). Left Brain Trading: The Right Mindset and Technique for Success in Forex. Vancouver: Inside Out Media. Faulconbridge, A.J. (1964). Fibonacci Summation Economics Part I. The Fibonacci Quarterly, 2 (4), 320-322. Faulconbridge, A.J. (1965). Fibonacci Summation Economics Part II. The Fibonacci Quarterly, 3 (4), 309-314. Fischer, R. (1993). Fibonacci Applications and Strategies for Traders. New York: John Wiley & Sons. Freeman, N.B. (1981). The Current Wisdom: The Middle Of An Era. National Review, January 23, 1981. Greenblat, J. (2007). Breakthrough Strategies for Predicting Any Market: Charting Elliot Wave, Lucas, Fibonacci and Time for Profit. Maryland: Marketplace Books. Gündüz, G. (2000). The Fractal Dimension of the Rise of an Empire. Journal of Mathematical Sociology, 24 (4), 303-320. Hill, J.M. (2010). On the Aesthetics of Beowulf and Other Old English Poems. Toronto: University of Toronto Press. Huntley, H.E. (1969). "The 'Golden Ratio' and the Fibonacci Numbers in the World of Atoms. The Fibonacci Quarterly, 7 (5), 523-524. Horadam, A.F. (1963). Further Appearances of the Fibonacci Sequence. The Fibonacci Quarterly, 1 (4), 41-42. Jardine, M. (2003). New Frontiers in Fibonacci Trading: Charting Techniques, Strategies, and Simple Applications. Maryland: Marketplace Books. Kramer, J. (1973). The Fibonacci Series in Twentieth-Century Music. Journal of Music Theory, 17 (1), 110-148. Krebs, R.E. (2008). Encyclopedia of Scientific Principles, Laws, and Theories: Volume 1: A– K. Westport, CT: Greenwood Press. Locke, D. (1987). Numerical Aspects of Bartók's String Quartets. The Musical Times, 128 (1732), 322-325. Mandelbrot, B.B. (1983). The Fractal Geometry of Nature. New York: W. H. Freeman and Company. 11 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] Moor, R.E.M. (1970). Mosaic Units: Pattern Sizes in Ancient Mosaics. The Fibonacci Quarterly, 8 (3), 281-310. Onderdonk, P.B. (1970). Pineapples and Fibonacci Numbers. The Fibonacci Quarterly, 8 (5), 507-508. Pesavento, L. & Shapiro, S. (1997). Fibonacci Ratios with Pattern Recognition. Greenville: Traders Press. Posamentier, A.S. & Lehmann, I. (2007). The Fabulous Fibonacci Numbers. New York: Prometheus Books. Prechter, R.R. (1999). The Wave Principle of Human Social Behavior and the New Science of Socionomics. Gainesville: New Classics Library. Preziosi, D. (1968). Harmonic Design in Minoan Architecture. The Fibonacci Quarterly, 6 (6), 370-384. Prechter, R.R. (2003). Pioneering Studies In Socionomics. Gainesville: New Classics Library. Read, B.A. (1970). Fibonacci Series in the Solar System. The Fibonacci Quarterly, 8 (4), 428438. Rose, N.S. (1991). Design and Development of Wholeness: Waskom's Paradigm. Educational Forum, 55 (3), 243-259. Stewart, I. (1995). Nature’s Numbers: The Unreal Reality of Mathematics. New York: BasicBooks. Tagaras, G. & Lee, H.L. (1988). Economic Design of Control Charts with Different Control Limits for Different Assignable Causes. Management Science, 34 (11), 1347-1366. Wagner, H.M., O’Hagan, M. & Lundh, B. (1965). An Empirical Study of Exactly and Approximately Optimal Inventory Policies. Management Science, 11 (7), 690-723. Zusne, L. (1970). Visual Perception of Form. New York: Academic Press. 12 V. DIMOVSKI, M. UHAN | FIBONACCI NUMBERS AND MANAGEMENT [WORK IN PROGRESS] About the authors Vlado Dimovski is a full professor of management and organization at the Faculty of Economics University of Ljubljana. His research interests are: strategic management, organizational learning, competitiveness, developing knowledge-based organization, and labor market issues. Dimovski has received his B.A. degree in economics and philosophy, and M.A. in Economics from University of Ljubljana, and Ph.D. in Management and Finance from Cleveland State University. He was State Secretary for Industry in the Government of Slovenia (1995-1997), President of the Center for International Competitiveness (1997-2000), and Minister for Labor, Family, and Social Affairs (2000-2004). Dimovski has also wide experience in consulting for numerous companies, institutions, and governments, particularly on the issues of strategic management, labor market, mergers and acquisitions, and the EUrelated issues. As an academician Dimovski has taught and researched at the various universities and institutions, and has published in recognized journals. Miha Uhan graduated in Management at the Faculty of Economics, University of Ljubljana in 2008. He attended the JOSZEF Study Program at the Vienna University of Economics and Busines in 2009 and received his master's degree at the Faculty of Economics, University of Ljubljana in 2010. He is currently employed as a young researcher at the Faculty of Economics, University of Ljubljana, where he is also a doctoral candidate. 13
© Copyright 2026 Paperzz