• Herzberg's Two-Factor Motivation Theory (1959):
• Formulated by psychologist Frederick Herzberg, this dual-factor theory proposes that job satisfaction and job dissatisfaction are driven by two independent sets of factors:
• Hygiene Factors (Extrinsic / Dissatisfiers): Working conditions, salary, job security, company policies, and interpersonal relations. Their presence does not inherently motivate, but their absence causes severe dissatisfaction.
• Motivator Factors (Intrinsic / Satisfiers): Achievement, recognition, challenging work, responsibility, and personal advancement. Their presence actively drives high job performance and deep satisfaction.
• Distractors:
• Abraham Maslow: Hierarchy of Needs (Physiological, Safety, Social, Esteem, Self-Actualization).
• Clayton Alderfer: ERG Theory (Existence, Relatedness, Growth).
• David McClelland: Acquired Needs Theory (Need for Achievement, Affiliation, and Power).

Correct option: (1) Frederick Herzberg

• Requirements and Assumptions of Linear Programming (LP):
• Essential structural requirements of an LP model include:

• well-defined Objective Function expressed as a linear equation of decision variables (to be maximized or minimized).
• Linear Constraints (equalities or inequalities) reflecting limited resource availability or operational limits.
• Non-negativity restrictions on decision variables ($X_j \ge 0$).
• Alternative courses of action among which to choose.
  • False Statement: “For each decision variable, there must be one constraint or resource limit.” In linear programming, the number of decision variables ($n$) and the number of constraints ($m$) are completely independent; an LP problem can have dozens of decision variables governed by only two or three resource constraints ($n \gg m$) or vice-versa.

• Artificial Variables and Infeasible Solutions in Linear Programming:
• When solving LP problems with $\ge$ or $=$ constraints using the Big-M Method or the Two-Phase Simplex Method, artificial variables ($A_i$) are added to provide an initial basic feasible solution.
• In Phase I (or during Big-M iterations), the algorithm attempts to drive all artificial variables to zero and out of the basis.
• If the optimality criterion is reached but one or more artificial variables remain in the basis at a strictly positive value ($A_i \gt 0$), it proves mathematically that the constraint system is mutually contradictory and no set of real variables can satisfy all constraints simultaneously, indicating an Infeasible Solution.
• Distractors:
• Unbounded Solution: Occurs when entering variable column has all non-positive entries ($a_{ij} \le 0$), allowing objective value to grow infinitely.
• Multiple Optimal Solutions: Occurs when a non-basic variable has zero net evaluation ($z_j - c_j = 0$) at optimality.
• Degeneracy: Occurs when a basic variable takes a value of zero (tie in minimum ratio test).

Correct option: (2) Infeasible Solution

• LAMPS (Large-Sized Adivasi Multi-Purpose Societies):
• LAMPS were established in 1971 following the recommendations of the K.S. Bawa Committee (1971) appointed by the Ministry of Agriculture.
• Mandated to operate in tribal and scheduled areas to provide integrated credit, agricultural inputs, distribution of consumer necessities, and organized marketing of Minor Forest Produce (MFP) to protect tribal farmers from exploitation by unscrupulous moneylenders and middlemen.

Correct option: (1) 1971